Writing an Abstract for Your Research Paper

Definition and Purpose of Abstracts

An abstract is a short summary of your (published or unpublished) research paper, usually about a paragraph (c. 6-7 sentences, 150-250 words) long. A well-written abstract serves multiple purposes:

  • an abstract lets readers get the gist or essence of your paper or article quickly, in order to decide whether to read the full paper;
  • an abstract prepares readers to follow the detailed information, analyses, and arguments in your full paper;
  • and, later, an abstract helps readers remember key points from your paper.

It’s also worth remembering that search engines and bibliographic databases use abstracts, as well as the title, to identify key terms for indexing your published paper. So what you include in your abstract and in your title are crucial for helping other researchers find your paper or article.

If you are writing an abstract for a course paper, your professor may give you specific guidelines for what to include and how to organize your abstract. Similarly, academic journals often have specific requirements for abstracts. So in addition to following the advice on this page, you should be sure to look for and follow any guidelines from the course or journal you’re writing for.

The Contents of an Abstract

Abstracts contain most of the following kinds of information in brief form. The body of your paper will, of course, develop and explain these ideas much more fully. As you will see in the samples below, the proportion of your abstract that you devote to each kind of information—and the sequence of that information—will vary, depending on the nature and genre of the paper that you are summarizing in your abstract. And in some cases, some of this information is implied, rather than stated explicitly. The Publication Manual of the American Psychological Association , which is widely used in the social sciences, gives specific guidelines for what to include in the abstract for different kinds of papers—for empirical studies, literature reviews or meta-analyses, theoretical papers, methodological papers, and case studies.

Here are the typical kinds of information found in most abstracts:

  • the context or background information for your research; the general topic under study; the specific topic of your research
  • the central questions or statement of the problem your research addresses
  • what’s already known about this question, what previous research has done or shown
  • the main reason(s) , the exigency, the rationale , the goals for your research—Why is it important to address these questions? Are you, for example, examining a new topic? Why is that topic worth examining? Are you filling a gap in previous research? Applying new methods to take a fresh look at existing ideas or data? Resolving a dispute within the literature in your field? . . .
  • your research and/or analytical methods
  • your main findings , results , or arguments
  • the significance or implications of your findings or arguments.

Your abstract should be intelligible on its own, without a reader’s having to read your entire paper. And in an abstract, you usually do not cite references—most of your abstract will describe what you have studied in your research and what you have found and what you argue in your paper. In the body of your paper, you will cite the specific literature that informs your research.

When to Write Your Abstract

Although you might be tempted to write your abstract first because it will appear as the very first part of your paper, it’s a good idea to wait to write your abstract until after you’ve drafted your full paper, so that you know what you’re summarizing.

What follows are some sample abstracts in published papers or articles, all written by faculty at UW-Madison who come from a variety of disciplines. We have annotated these samples to help you see the work that these authors are doing within their abstracts.

Choosing Verb Tenses within Your Abstract

The social science sample (Sample 1) below uses the present tense to describe general facts and interpretations that have been and are currently true, including the prevailing explanation for the social phenomenon under study. That abstract also uses the present tense to describe the methods, the findings, the arguments, and the implications of the findings from their new research study. The authors use the past tense to describe previous research.

The humanities sample (Sample 2) below uses the past tense to describe completed events in the past (the texts created in the pulp fiction industry in the 1970s and 80s) and uses the present tense to describe what is happening in those texts, to explain the significance or meaning of those texts, and to describe the arguments presented in the article.

The science samples (Samples 3 and 4) below use the past tense to describe what previous research studies have done and the research the authors have conducted, the methods they have followed, and what they have found. In their rationale or justification for their research (what remains to be done), they use the present tense. They also use the present tense to introduce their study (in Sample 3, “Here we report . . .”) and to explain the significance of their study (In Sample 3, This reprogramming . . . “provides a scalable cell source for. . .”).

Sample Abstract 1

From the social sciences.

Reporting new findings about the reasons for increasing economic homogamy among spouses

Gonalons-Pons, Pilar, and Christine R. Schwartz. “Trends in Economic Homogamy: Changes in Assortative Mating or the Division of Labor in Marriage?” Demography , vol. 54, no. 3, 2017, pp. 985-1005.

“The growing economic resemblance of spouses has contributed to rising inequality by increasing the number of couples in which there are two high- or two low-earning partners. [Annotation for the previous sentence: The first sentence introduces the topic under study (the “economic resemblance of spouses”). This sentence also implies the question underlying this research study: what are the various causes—and the interrelationships among them—for this trend?] The dominant explanation for this trend is increased assortative mating. Previous research has primarily relied on cross-sectional data and thus has been unable to disentangle changes in assortative mating from changes in the division of spouses’ paid labor—a potentially key mechanism given the dramatic rise in wives’ labor supply. [Annotation for the previous two sentences: These next two sentences explain what previous research has demonstrated. By pointing out the limitations in the methods that were used in previous studies, they also provide a rationale for new research.] We use data from the Panel Study of Income Dynamics (PSID) to decompose the increase in the correlation between spouses’ earnings and its contribution to inequality between 1970 and 2013 into parts due to (a) changes in assortative mating, and (b) changes in the division of paid labor. [Annotation for the previous sentence: The data, research and analytical methods used in this new study.] Contrary to what has often been assumed, the rise of economic homogamy and its contribution to inequality is largely attributable to changes in the division of paid labor rather than changes in sorting on earnings or earnings potential. Our findings indicate that the rise of economic homogamy cannot be explained by hypotheses centered on meeting and matching opportunities, and they show where in this process inequality is generated and where it is not.” (p. 985) [Annotation for the previous two sentences: The major findings from and implications and significance of this study.]

Sample Abstract 2

From the humanities.

Analyzing underground pulp fiction publications in Tanzania, this article makes an argument about the cultural significance of those publications

Emily Callaci. “Street Textuality: Socialism, Masculinity, and Urban Belonging in Tanzania’s Pulp Fiction Publishing Industry, 1975-1985.” Comparative Studies in Society and History , vol. 59, no. 1, 2017, pp. 183-210.

“From the mid-1970s through the mid-1980s, a network of young urban migrant men created an underground pulp fiction publishing industry in the city of Dar es Salaam. [Annotation for the previous sentence: The first sentence introduces the context for this research and announces the topic under study.] As texts that were produced in the underground economy of a city whose trajectory was increasingly charted outside of formalized planning and investment, these novellas reveal more than their narrative content alone. These texts were active components in the urban social worlds of the young men who produced them. They reveal a mode of urbanism otherwise obscured by narratives of decolonization, in which urban belonging was constituted less by national citizenship than by the construction of social networks, economic connections, and the crafting of reputations. This article argues that pulp fiction novellas of socialist era Dar es Salaam are artifacts of emergent forms of male sociability and mobility. In printing fictional stories about urban life on pilfered paper and ink, and distributing their texts through informal channels, these writers not only described urban communities, reputations, and networks, but also actually created them.” (p. 210) [Annotation for the previous sentences: The remaining sentences in this abstract interweave other essential information for an abstract for this article. The implied research questions: What do these texts mean? What is their historical and cultural significance, produced at this time, in this location, by these authors? The argument and the significance of this analysis in microcosm: these texts “reveal a mode or urbanism otherwise obscured . . .”; and “This article argues that pulp fiction novellas. . . .” This section also implies what previous historical research has obscured. And through the details in its argumentative claims, this section of the abstract implies the kinds of methods the author has used to interpret the novellas and the concepts under study (e.g., male sociability and mobility, urban communities, reputations, network. . . ).]

Sample Abstract/Summary 3

From the sciences.

Reporting a new method for reprogramming adult mouse fibroblasts into induced cardiac progenitor cells

Lalit, Pratik A., Max R. Salick, Daryl O. Nelson, Jayne M. Squirrell, Christina M. Shafer, Neel G. Patel, Imaan Saeed, Eric G. Schmuck, Yogananda S. Markandeya, Rachel Wong, Martin R. Lea, Kevin W. Eliceiri, Timothy A. Hacker, Wendy C. Crone, Michael Kyba, Daniel J. Garry, Ron Stewart, James A. Thomson, Karen M. Downs, Gary E. Lyons, and Timothy J. Kamp. “Lineage Reprogramming of Fibroblasts into Proliferative Induced Cardiac Progenitor Cells by Defined Factors.” Cell Stem Cell , vol. 18, 2016, pp. 354-367.

“Several studies have reported reprogramming of fibroblasts into induced cardiomyocytes; however, reprogramming into proliferative induced cardiac progenitor cells (iCPCs) remains to be accomplished. [Annotation for the previous sentence: The first sentence announces the topic under study, summarizes what’s already known or been accomplished in previous research, and signals the rationale and goals are for the new research and the problem that the new research solves: How can researchers reprogram fibroblasts into iCPCs?] Here we report that a combination of 11 or 5 cardiac factors along with canonical Wnt and JAK/STAT signaling reprogrammed adult mouse cardiac, lung, and tail tip fibroblasts into iCPCs. The iCPCs were cardiac mesoderm-restricted progenitors that could be expanded extensively while maintaining multipo-tency to differentiate into cardiomyocytes, smooth muscle cells, and endothelial cells in vitro. Moreover, iCPCs injected into the cardiac crescent of mouse embryos differentiated into cardiomyocytes. iCPCs transplanted into the post-myocardial infarction mouse heart improved survival and differentiated into cardiomyocytes, smooth muscle cells, and endothelial cells. [Annotation for the previous four sentences: The methods the researchers developed to achieve their goal and a description of the results.] Lineage reprogramming of adult somatic cells into iCPCs provides a scalable cell source for drug discovery, disease modeling, and cardiac regenerative therapy.” (p. 354) [Annotation for the previous sentence: The significance or implications—for drug discovery, disease modeling, and therapy—of this reprogramming of adult somatic cells into iCPCs.]

Sample Abstract 4, a Structured Abstract

Reporting results about the effectiveness of antibiotic therapy in managing acute bacterial sinusitis, from a rigorously controlled study

Note: This journal requires authors to organize their abstract into four specific sections, with strict word limits. Because the headings for this structured abstract are self-explanatory, we have chosen not to add annotations to this sample abstract.

Wald, Ellen R., David Nash, and Jens Eickhoff. “Effectiveness of Amoxicillin/Clavulanate Potassium in the Treatment of Acute Bacterial Sinusitis in Children.” Pediatrics , vol. 124, no. 1, 2009, pp. 9-15.

“OBJECTIVE: The role of antibiotic therapy in managing acute bacterial sinusitis (ABS) in children is controversial. The purpose of this study was to determine the effectiveness of high-dose amoxicillin/potassium clavulanate in the treatment of children diagnosed with ABS.

METHODS : This was a randomized, double-blind, placebo-controlled study. Children 1 to 10 years of age with a clinical presentation compatible with ABS were eligible for participation. Patients were stratified according to age (<6 or ≥6 years) and clinical severity and randomly assigned to receive either amoxicillin (90 mg/kg) with potassium clavulanate (6.4 mg/kg) or placebo. A symptom survey was performed on days 0, 1, 2, 3, 5, 7, 10, 20, and 30. Patients were examined on day 14. Children’s conditions were rated as cured, improved, or failed according to scoring rules.

RESULTS: Two thousand one hundred thirty-five children with respiratory complaints were screened for enrollment; 139 (6.5%) had ABS. Fifty-eight patients were enrolled, and 56 were randomly assigned. The mean age was 6630 months. Fifty (89%) patients presented with persistent symptoms, and 6 (11%) presented with nonpersistent symptoms. In 24 (43%) children, the illness was classified as mild, whereas in the remaining 32 (57%) children it was severe. Of the 28 children who received the antibiotic, 14 (50%) were cured, 4 (14%) were improved, 4(14%) experienced treatment failure, and 6 (21%) withdrew. Of the 28children who received placebo, 4 (14%) were cured, 5 (18%) improved, and 19 (68%) experienced treatment failure. Children receiving the antibiotic were more likely to be cured (50% vs 14%) and less likely to have treatment failure (14% vs 68%) than children receiving the placebo.

CONCLUSIONS : ABS is a common complication of viral upper respiratory infections. Amoxicillin/potassium clavulanate results in significantly more cures and fewer failures than placebo, according to parental report of time to resolution.” (9)

Some Excellent Advice about Writing Abstracts for Basic Science Research Papers, by Professor Adriano Aguzzi from the Institute of Neuropathology at the University of Zurich:

scientific research paper abstract

Academic and Professional Writing

This is an accordion element with a series of buttons that open and close related content panels.

Analysis Papers

Reading Poetry

A Short Guide to Close Reading for Literary Analysis

Using Literary Quotations

Play Reviews

Writing a Rhetorical Précis to Analyze Nonfiction Texts

Incorporating Interview Data

Grant Proposals

Planning and Writing a Grant Proposal: The Basics

Additional Resources for Grants and Proposal Writing

Job Materials and Application Essays

Writing Personal Statements for Ph.D. Programs

  • Before you begin: useful tips for writing your essay
  • Guided brainstorming exercises
  • Get more help with your essay
  • Frequently Asked Questions

Resume Writing Tips

CV Writing Tips

Cover Letters

Business Letters

Proposals and Dissertations

Resources for Proposal Writers

Resources for Dissertators

Research Papers

Planning and Writing Research Papers

Quoting and Paraphrasing

Writing Annotated Bibliographies

Creating Poster Presentations

Thank-You Notes

Advice for Students Writing Thank-You Notes to Donors

Reading for a Review

Critical Reviews

Writing a Review of Literature

Scientific Reports

Scientific Report Format

Sample Lab Assignment

Writing for the Web

Writing an Effective Blog Post

Writing for Social Media: A Guide for Academics

UCI Libraries Mobile Site

  • Langson Library
  • Science Library
  • Grunigen Medical Library
  • Law Library
  • Connect From Off-Campus
  • Accessibility
  • Gateway Study Center

Libaries home page

Email this link

Writing a scientific paper.

  • Writing a lab report

What is an abstract?

What is a "good" abstract, techniques to write an abstract, "abstract checklist" from: how to write a good scientific paper. chris a. mack. spie. 2018..

  • INTRODUCTION
  • LITERATURE CITED
  • Bibliography of guides to scientific writing and presenting
  • Peer Review
  • Presentations
  • Lab Report Writing Guides on the Web

There are as many kinds as abstracts as there are types of research papers.  The classic abstract is usually a "Informative" abstract. This kind of abstract communicates compressed information and include the purpose, methods, and scope of the article. They are usually short (250 words or less) and allow the reader to decide whether they want to read the article.

The goal is to communicate:

  • What was done?
  • Why was it done?
  • How was it done?
  • What was found?
  • What is the significance of the findings?
  • Self contained. Uses 1 or more well developed paragraphs
  • Uses introduction/body/conclusion structure
  • Presents purpose, results, conclusions and recommendations in that order
  • Adds no new information
  • Is understandable to a wide audience
  • Write the abstract last
  • Reread the article looking specifically for the main parts: Purpose, methods, scope, results, conclusions, and recommendations
  • Write a first rough draft without looking at the original article
  • Edit your draft by correcting organization, improving transitions, dropping unnecessary information and words, and adding important information you left out

The abstract should be a concise (200 words or less), standalone summary of the paper, with 1–2 sentences on each of these topics:

  • Background: What issues led to this work? What is the environment that makes this work interesting or important?
  • Aim: What were the goals of this work? What gap is being filled?
  • Approach: What went into trying to achieve the aims (e.g., experimental method, simulation approach, theoretical approach, combinations of these, etc.)? What was actually done?
  • Results: What were the main results of the study (including numbers, if appropriate)?
  • Conclusions: What were the main conclusions? Why are the results important? Where will they lead?

The abstract should be written for the audience of this journal: do not assume too much or too little background with the topic.

Ensure that all of the information found in the abstract also can be found in the body of the paper.

Ensure that the important information of the paper is found in the abstract.

Avoid: using the first paragraph of the introduction as an abstract; citations in the abstract; acronyms (but if used, spell them out); referring to figures or tables from the body of the paper; use of the first person; use of words like “new” or “novel,” or phrases like “in this paper,” “we report,” or “will be discussed.” 

  • << Previous: TITLE
  • Next: INTRODUCTION >>
  • Last Updated: Aug 4, 2023 9:33 AM
  • URL: https://guides.lib.uci.edu/scientificwriting

Off-campus? Please use the Software VPN and choose the group UCIFull to access licensed content. For more information, please Click here

Software VPN is not available for guests, so they may not have access to some content when connecting from off-campus.

  • USC Libraries
  • Research Guides

Organizing Your Social Sciences Research Paper

  • 3. The Abstract
  • Purpose of Guide
  • Design Flaws to Avoid
  • Independent and Dependent Variables
  • Glossary of Research Terms
  • Reading Research Effectively
  • Narrowing a Topic Idea
  • Broadening a Topic Idea
  • Extending the Timeliness of a Topic Idea
  • Academic Writing Style
  • Applying Critical Thinking
  • Choosing a Title
  • Making an Outline
  • Paragraph Development
  • Research Process Video Series
  • Executive Summary
  • The C.A.R.S. Model
  • Background Information
  • The Research Problem/Question
  • Theoretical Framework
  • Citation Tracking
  • Content Alert Services
  • Evaluating Sources
  • Primary Sources
  • Secondary Sources
  • Tiertiary Sources
  • Scholarly vs. Popular Publications
  • Qualitative Methods
  • Quantitative Methods
  • Insiderness
  • Using Non-Textual Elements
  • Limitations of the Study
  • Common Grammar Mistakes
  • Writing Concisely
  • Avoiding Plagiarism
  • Footnotes or Endnotes?
  • Further Readings
  • Generative AI and Writing
  • USC Libraries Tutorials and Other Guides
  • Bibliography

An abstract summarizes, usually in one paragraph of 300 words or less, the major aspects of the entire paper in a prescribed sequence that includes: 1) the overall purpose of the study and the research problem(s) you investigated; 2) the basic design of the study; 3) major findings or trends found as a result of your analysis; and, 4) a brief summary of your interpretations and conclusions.

Writing an Abstract. The Writing Center. Clarion University, 2009; Writing an Abstract for Your Research Paper. The Writing Center, University of Wisconsin, Madison; Koltay, Tibor. Abstracts and Abstracting: A Genre and Set of Skills for the Twenty-first Century . Oxford, UK: Chandos Publishing, 2010;

Importance of a Good Abstract

Sometimes your professor will ask you to include an abstract, or general summary of your work, with your research paper. The abstract allows you to elaborate upon each major aspect of the paper and helps readers decide whether they want to read the rest of the paper. Therefore, enough key information [e.g., summary results, observations, trends, etc.] must be included to make the abstract useful to someone who may want to examine your work.

How do you know when you have enough information in your abstract? A simple rule-of-thumb is to imagine that you are another researcher doing a similar study. Then ask yourself: if your abstract was the only part of the paper you could access, would you be happy with the amount of information presented there? Does it tell the whole story about your study? If the answer is "no" then the abstract likely needs to be revised.

Farkas, David K. “A Scheme for Understanding and Writing Summaries.” Technical Communication 67 (August 2020): 45-60;  How to Write a Research Abstract. Office of Undergraduate Research. University of Kentucky; Staiger, David L. “What Today’s Students Need to Know about Writing Abstracts.” International Journal of Business Communication January 3 (1966): 29-33; Swales, John M. and Christine B. Feak. Abstracts and the Writing of Abstracts . Ann Arbor, MI: University of Michigan Press, 2009.

Structure and Writing Style

I.  Types of Abstracts

To begin, you need to determine which type of abstract you should include with your paper. There are four general types.

Critical Abstract A critical abstract provides, in addition to describing main findings and information, a judgment or comment about the study’s validity, reliability, or completeness. The researcher evaluates the paper and often compares it with other works on the same subject. Critical abstracts are generally 400-500 words in length due to the additional interpretive commentary. These types of abstracts are used infrequently.

Descriptive Abstract A descriptive abstract indicates the type of information found in the work. It makes no judgments about the work, nor does it provide results or conclusions of the research. It does incorporate key words found in the text and may include the purpose, methods, and scope of the research. Essentially, the descriptive abstract only describes the work being summarized. Some researchers consider it an outline of the work, rather than a summary. Descriptive abstracts are usually very short, 100 words or less. Informative Abstract The majority of abstracts are informative. While they still do not critique or evaluate a work, they do more than describe it. A good informative abstract acts as a surrogate for the work itself. That is, the researcher presents and explains all the main arguments and the important results and evidence in the paper. An informative abstract includes the information that can be found in a descriptive abstract [purpose, methods, scope] but it also includes the results and conclusions of the research and the recommendations of the author. The length varies according to discipline, but an informative abstract is usually no more than 300 words in length.

Highlight Abstract A highlight abstract is specifically written to attract the reader’s attention to the study. No pretense is made of there being either a balanced or complete picture of the paper and, in fact, incomplete and leading remarks may be used to spark the reader’s interest. In that a highlight abstract cannot stand independent of its associated article, it is not a true abstract and, therefore, rarely used in academic writing.

II.  Writing Style

Use the active voice when possible , but note that much of your abstract may require passive sentence constructions. Regardless, write your abstract using concise, but complete, sentences. Get to the point quickly and always use the past tense because you are reporting on a study that has been completed.

Abstracts should be formatted as a single paragraph in a block format and with no paragraph indentations. In most cases, the abstract page immediately follows the title page. Do not number the page. Rules set forth in writing manual vary but, in general, you should center the word "Abstract" at the top of the page with double spacing between the heading and the abstract. The final sentences of an abstract concisely summarize your study’s conclusions, implications, or applications to practice and, if appropriate, can be followed by a statement about the need for additional research revealed from the findings.

Composing Your Abstract

Although it is the first section of your paper, the abstract should be written last since it will summarize the contents of your entire paper. A good strategy to begin composing your abstract is to take whole sentences or key phrases from each section of the paper and put them in a sequence that summarizes the contents. Then revise or add connecting phrases or words to make the narrative flow clearly and smoothly. Note that statistical findings should be reported parenthetically [i.e., written in parentheses].

Before handing in your final paper, check to make sure that the information in the abstract completely agrees with what you have written in the paper. Think of the abstract as a sequential set of complete sentences describing the most crucial information using the fewest necessary words. The abstract SHOULD NOT contain:

  • A catchy introductory phrase, provocative quote, or other device to grab the reader's attention,
  • Lengthy background or contextual information,
  • Redundant phrases, unnecessary adverbs and adjectives, and repetitive information;
  • Acronyms or abbreviations,
  • References to other literature [say something like, "current research shows that..." or "studies have indicated..."],
  • Using ellipticals [i.e., ending with "..."] or incomplete sentences,
  • Jargon or terms that may be confusing to the reader,
  • Citations to other works, and
  • Any sort of image, illustration, figure, or table, or references to them.

Abstract. Writing Center. University of Kansas; Abstract. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College; Abstracts. The Writing Center. University of North Carolina; Borko, Harold and Seymour Chatman. "Criteria for Acceptable Abstracts: A Survey of Abstracters' Instructions." American Documentation 14 (April 1963): 149-160; Abstracts. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Hartley, James and Lucy Betts. "Common Weaknesses in Traditional Abstracts in the Social Sciences." Journal of the American Society for Information Science and Technology 60 (October 2009): 2010-2018; Koltay, Tibor. Abstracts and Abstracting: A Genre and Set of Skills for the Twenty-first Century. Oxford, UK: Chandos Publishing, 2010; Procter, Margaret. The Abstract. University College Writing Centre. University of Toronto; Riordan, Laura. “Mastering the Art of Abstracts.” The Journal of the American Osteopathic Association 115 (January 2015 ): 41-47; Writing Report Abstracts. The Writing Lab and The OWL. Purdue University; Writing Abstracts. Writing Tutorial Services, Center for Innovative Teaching and Learning. Indiana University; Koltay, Tibor. Abstracts and Abstracting: A Genre and Set of Skills for the Twenty-First Century . Oxford, UK: 2010; Writing an Abstract for Your Research Paper. The Writing Center, University of Wisconsin, Madison.

Writing Tip

Never Cite Just the Abstract!

Citing to just a journal article's abstract does not confirm for the reader that you have conducted a thorough or reliable review of the literature. If the full-text is not available, go to the USC Libraries main page and enter the title of the article [NOT the title of the journal]. If the Libraries have a subscription to the journal, the article should appear with a link to the full-text or to the journal publisher page where you can get the article. If the article does not appear, try searching Google Scholar using the link on the USC Libraries main page. If you still can't find the article after doing this, contact a librarian or you can request it from our free i nterlibrary loan and document delivery service .

  • << Previous: Research Process Video Series
  • Next: Executive Summary >>
  • Last Updated: May 25, 2024 4:09 PM
  • URL: https://libguides.usc.edu/writingguide

When you choose to publish with PLOS, your research makes an impact. Make your work accessible to all, without restrictions, and accelerate scientific discovery with options like preprints and published peer review that make your work more Open.

  • PLOS Biology
  • PLOS Climate
  • PLOS Complex Systems
  • PLOS Computational Biology
  • PLOS Digital Health
  • PLOS Genetics
  • PLOS Global Public Health
  • PLOS Medicine
  • PLOS Mental Health
  • PLOS Neglected Tropical Diseases
  • PLOS Pathogens
  • PLOS Sustainability and Transformation
  • PLOS Collections

Welcome to the PLOS Writing Center

Your source for scientific writing & publishing essentials.

A collection of free, practical guides and hands-on resources for authors looking to improve their scientific publishing skillset.

ARTICLE-WRITING ESSENTIALS

Your title is the first thing anyone who reads your article is going to see, and for many it will be where they stop reading. Learn how to write a title that helps readers find your article, draws your audience in and sets the stage for your research!

The abstract is your chance to let your readers know what they can expect from your article. Learn how to write a clear, and concise abstract that will keep your audience reading.

A clear methods section impacts editorial evaluation and readers’ understanding, and is also the backbone of transparency and replicability. Learn what to include in your methods section, and how much detail is appropriate.

In many fields, a statistical analysis forms the heart of both the methods and results sections of a manuscript. Learn how to report statistical analyses, and what other context is important for publication success and future reproducibility.

The discussion section contains the results and outcomes of a study. An effective discussion informs readers what can be learned from your experiment and provides context for the results.

Ensuring your manuscript is well-written makes it easier for editors, reviewers and readers to understand your work. Avoiding language errors can help accelerate review and minimize delays in the publication of your research.

The PLOS Writing Toolbox

Delivered to your inbox every two weeks, the Writing Toolbox features practical advice and tools you can use to prepare a research manuscript for submission success and build your scientific writing skillset. 

Discover how to navigate the peer review and publishing process, beyond writing your article.

The path to publication can be unsettling when you’re unsure what’s happening with your paper. Learn about staple journal workflows to see the detailed steps required for ensuring a rigorous and ethical publication.

Reputable journals screen for ethics at submission—and inability to pass ethics checks is one of the most common reasons for rejection. Unfortunately, once a study has begun, it’s often too late to secure the requisite ethical reviews and clearances. Learn how to prepare for publication success by ensuring your study meets all ethical requirements before work begins.

From preregistration, to preprints, to publication—learn how and when to share your study.

How you store your data matters. Even after you publish your article, your data needs to be accessible and useable for the long term so that other researchers can continue building on your work. Good data management practices make your data discoverable and easy to use, promote a strong foundation for reproducibility and increase your likelihood of citations.

You’ve just spent months completing your study, writing up the results and submitting to your top-choice journal. Now the feedback is in and it’s time to revise. Set out a clear plan for your response to keep yourself on-track and ensure edits don’t fall through the cracks.

There’s a lot to consider when deciding where to submit your work. Learn how to choose a journal that will help your study reach its audience, while reflecting your values as a researcher.

Are you actively preparing a submission for a PLOS journal? Select the relevant journal below for more detailed guidelines. 

How to Write an Article  

Share the lessons of the Writing Center in a live, interactive training.

Access tried-and-tested training modules, complete with slides and talking points, workshop activities, and more.

The Writing Center • University of North Carolina at Chapel Hill

What this handout is about

This handout provides definitions and examples of the two main types of abstracts: descriptive and informative. It also provides guidelines for constructing an abstract and general tips for you to keep in mind when drafting. Finally, it includes a few examples of abstracts broken down into their component parts.

What is an abstract?

An abstract is a self-contained, short, and powerful statement that describes a larger work. Components vary according to discipline. An abstract of a social science or scientific work may contain the scope, purpose, results, and contents of the work. An abstract of a humanities work may contain the thesis, background, and conclusion of the larger work. An abstract is not a review, nor does it evaluate the work being abstracted. While it contains key words found in the larger work, the abstract is an original document rather than an excerpted passage.

Why write an abstract?

You may write an abstract for various reasons. The two most important are selection and indexing. Abstracts allow readers who may be interested in a longer work to quickly decide whether it is worth their time to read it. Also, many online databases use abstracts to index larger works. Therefore, abstracts should contain keywords and phrases that allow for easy searching.

Say you are beginning a research project on how Brazilian newspapers helped Brazil’s ultra-liberal president Luiz Ignácio da Silva wrest power from the traditional, conservative power base. A good first place to start your research is to search Dissertation Abstracts International for all dissertations that deal with the interaction between newspapers and politics. “Newspapers and politics” returned 569 hits. A more selective search of “newspapers and Brazil” returned 22 hits. That is still a fair number of dissertations. Titles can sometimes help winnow the field, but many titles are not very descriptive. For example, one dissertation is titled “Rhetoric and Riot in Rio de Janeiro.” It is unclear from the title what this dissertation has to do with newspapers in Brazil. One option would be to download or order the entire dissertation on the chance that it might speak specifically to the topic. A better option is to read the abstract. In this case, the abstract reveals the main focus of the dissertation:

This dissertation examines the role of newspaper editors in the political turmoil and strife that characterized late First Empire Rio de Janeiro (1827-1831). Newspaper editors and their journals helped change the political culture of late First Empire Rio de Janeiro by involving the people in the discussion of state. This change in political culture is apparent in Emperor Pedro I’s gradual loss of control over the mechanisms of power. As the newspapers became more numerous and powerful, the Emperor lost his legitimacy in the eyes of the people. To explore the role of the newspapers in the political events of the late First Empire, this dissertation analyzes all available newspapers published in Rio de Janeiro from 1827 to 1831. Newspapers and their editors were leading forces in the effort to remove power from the hands of the ruling elite and place it under the control of the people. In the process, newspapers helped change how politics operated in the constitutional monarchy of Brazil.

From this abstract you now know that although the dissertation has nothing to do with modern Brazilian politics, it does cover the role of newspapers in changing traditional mechanisms of power. After reading the abstract, you can make an informed judgment about whether the dissertation would be worthwhile to read.

Besides selection, the other main purpose of the abstract is for indexing. Most article databases in the online catalog of the library enable you to search abstracts. This allows for quick retrieval by users and limits the extraneous items recalled by a “full-text” search. However, for an abstract to be useful in an online retrieval system, it must incorporate the key terms that a potential researcher would use to search. For example, if you search Dissertation Abstracts International using the keywords “France” “revolution” and “politics,” the search engine would search through all the abstracts in the database that included those three words. Without an abstract, the search engine would be forced to search titles, which, as we have seen, may not be fruitful, or else search the full text. It’s likely that a lot more than 60 dissertations have been written with those three words somewhere in the body of the entire work. By incorporating keywords into the abstract, the author emphasizes the central topics of the work and gives prospective readers enough information to make an informed judgment about the applicability of the work.

When do people write abstracts?

  • when submitting articles to journals, especially online journals
  • when applying for research grants
  • when writing a book proposal
  • when completing the Ph.D. dissertation or M.A. thesis
  • when writing a proposal for a conference paper
  • when writing a proposal for a book chapter

Most often, the author of the entire work (or prospective work) writes the abstract. However, there are professional abstracting services that hire writers to draft abstracts of other people’s work. In a work with multiple authors, the first author usually writes the abstract. Undergraduates are sometimes asked to draft abstracts of books/articles for classmates who have not read the larger work.

Types of abstracts

There are two types of abstracts: descriptive and informative. They have different aims, so as a consequence they have different components and styles. There is also a third type called critical, but it is rarely used. If you want to find out more about writing a critique or a review of a work, see the UNC Writing Center handout on writing a literature review . If you are unsure which type of abstract you should write, ask your instructor (if the abstract is for a class) or read other abstracts in your field or in the journal where you are submitting your article.

Descriptive abstracts

A descriptive abstract indicates the type of information found in the work. It makes no judgments about the work, nor does it provide results or conclusions of the research. It does incorporate key words found in the text and may include the purpose, methods, and scope of the research. Essentially, the descriptive abstract describes the work being abstracted. Some people consider it an outline of the work, rather than a summary. Descriptive abstracts are usually very short—100 words or less.

Informative abstracts

The majority of abstracts are informative. While they still do not critique or evaluate a work, they do more than describe it. A good informative abstract acts as a surrogate for the work itself. That is, the writer presents and explains all the main arguments and the important results and evidence in the complete article/paper/book. An informative abstract includes the information that can be found in a descriptive abstract (purpose, methods, scope) but also includes the results and conclusions of the research and the recommendations of the author. The length varies according to discipline, but an informative abstract is rarely more than 10% of the length of the entire work. In the case of a longer work, it may be much less.

Here are examples of a descriptive and an informative abstract of this handout on abstracts . Descriptive abstract:

The two most common abstract types—descriptive and informative—are described and examples of each are provided.

Informative abstract:

Abstracts present the essential elements of a longer work in a short and powerful statement. The purpose of an abstract is to provide prospective readers the opportunity to judge the relevance of the longer work to their projects. Abstracts also include the key terms found in the longer work and the purpose and methods of the research. Authors abstract various longer works, including book proposals, dissertations, and online journal articles. There are two main types of abstracts: descriptive and informative. A descriptive abstract briefly describes the longer work, while an informative abstract presents all the main arguments and important results. This handout provides examples of various types of abstracts and instructions on how to construct one.

Which type should I use?

Your best bet in this case is to ask your instructor or refer to the instructions provided by the publisher. You can also make a guess based on the length allowed; i.e., 100-120 words = descriptive; 250+ words = informative.

How do I write an abstract?

The format of your abstract will depend on the work being abstracted. An abstract of a scientific research paper will contain elements not found in an abstract of a literature article, and vice versa. However, all abstracts share several mandatory components, and there are also some optional parts that you can decide to include or not. When preparing to draft your abstract, keep the following key process elements in mind:

  • Reason for writing: What is the importance of the research? Why would a reader be interested in the larger work?
  • Problem: What problem does this work attempt to solve? What is the scope of the project? What is the main argument/thesis/claim?
  • Methodology: An abstract of a scientific work may include specific models or approaches used in the larger study. Other abstracts may describe the types of evidence used in the research.
  • Results: Again, an abstract of a scientific work may include specific data that indicates the results of the project. Other abstracts may discuss the findings in a more general way.
  • Implications: What changes should be implemented as a result of the findings of the work? How does this work add to the body of knowledge on the topic?

(This list of elements is adapted with permission from Philip Koopman, “How to Write an Abstract.” )

All abstracts include:

  • A full citation of the source, preceding the abstract.
  • The most important information first.
  • The same type and style of language found in the original, including technical language.
  • Key words and phrases that quickly identify the content and focus of the work.
  • Clear, concise, and powerful language.

Abstracts may include:

  • The thesis of the work, usually in the first sentence.
  • Background information that places the work in the larger body of literature.
  • The same chronological structure as the original work.

How not to write an abstract:

  • Do not refer extensively to other works.
  • Do not add information not contained in the original work.
  • Do not define terms.

If you are abstracting your own writing

When abstracting your own work, it may be difficult to condense a piece of writing that you have agonized over for weeks (or months, or even years) into a 250-word statement. There are some tricks that you could use to make it easier, however.

Reverse outlining:

This technique is commonly used when you are having trouble organizing your own writing. The process involves writing down the main idea of each paragraph on a separate piece of paper– see our short video . For the purposes of writing an abstract, try grouping the main ideas of each section of the paper into a single sentence. Practice grouping ideas using webbing or color coding .

For a scientific paper, you may have sections titled Purpose, Methods, Results, and Discussion. Each one of these sections will be longer than one paragraph, but each is grouped around a central idea. Use reverse outlining to discover the central idea in each section and then distill these ideas into one statement.

Cut and paste:

To create a first draft of an abstract of your own work, you can read through the entire paper and cut and paste sentences that capture key passages. This technique is useful for social science research with findings that cannot be encapsulated by neat numbers or concrete results. A well-written humanities draft will have a clear and direct thesis statement and informative topic sentences for paragraphs or sections. Isolate these sentences in a separate document and work on revising them into a unified paragraph.

If you are abstracting someone else’s writing

When abstracting something you have not written, you cannot summarize key ideas just by cutting and pasting. Instead, you must determine what a prospective reader would want to know about the work. There are a few techniques that will help you in this process:

Identify key terms:

Search through the entire document for key terms that identify the purpose, scope, and methods of the work. Pay close attention to the Introduction (or Purpose) and the Conclusion (or Discussion). These sections should contain all the main ideas and key terms in the paper. When writing the abstract, be sure to incorporate the key terms.

Highlight key phrases and sentences:

Instead of cutting and pasting the actual words, try highlighting sentences or phrases that appear to be central to the work. Then, in a separate document, rewrite the sentences and phrases in your own words.

Don’t look back:

After reading the entire work, put it aside and write a paragraph about the work without referring to it. In the first draft, you may not remember all the key terms or the results, but you will remember what the main point of the work was. Remember not to include any information you did not get from the work being abstracted.

Revise, revise, revise

No matter what type of abstract you are writing, or whether you are abstracting your own work or someone else’s, the most important step in writing an abstract is to revise early and often. When revising, delete all extraneous words and incorporate meaningful and powerful words. The idea is to be as clear and complete as possible in the shortest possible amount of space. The Word Count feature of Microsoft Word can help you keep track of how long your abstract is and help you hit your target length.

Example 1: Humanities abstract

Kenneth Tait Andrews, “‘Freedom is a constant struggle’: The dynamics and consequences of the Mississippi Civil Rights Movement, 1960-1984” Ph.D. State University of New York at Stony Brook, 1997 DAI-A 59/02, p. 620, Aug 1998

This dissertation examines the impacts of social movements through a multi-layered study of the Mississippi Civil Rights Movement from its peak in the early 1960s through the early 1980s. By examining this historically important case, I clarify the process by which movements transform social structures and the constraints movements face when they try to do so. The time period studied includes the expansion of voting rights and gains in black political power, the desegregation of public schools and the emergence of white-flight academies, and the rise and fall of federal anti-poverty programs. I use two major research strategies: (1) a quantitative analysis of county-level data and (2) three case studies. Data have been collected from archives, interviews, newspapers, and published reports. This dissertation challenges the argument that movements are inconsequential. Some view federal agencies, courts, political parties, or economic elites as the agents driving institutional change, but typically these groups acted in response to the leverage brought to bear by the civil rights movement. The Mississippi movement attempted to forge independent structures for sustaining challenges to local inequities and injustices. By propelling change in an array of local institutions, movement infrastructures had an enduring legacy in Mississippi.

Now let’s break down this abstract into its component parts to see how the author has distilled his entire dissertation into a ~200 word abstract.

What the dissertation does This dissertation examines the impacts of social movements through a multi-layered study of the Mississippi Civil Rights Movement from its peak in the early 1960s through the early 1980s. By examining this historically important case, I clarify the process by which movements transform social structures and the constraints movements face when they try to do so.

How the dissertation does it The time period studied in this dissertation includes the expansion of voting rights and gains in black political power, the desegregation of public schools and the emergence of white-flight academies, and the rise and fall of federal anti-poverty programs. I use two major research strategies: (1) a quantitative analysis of county-level data and (2) three case studies.

What materials are used Data have been collected from archives, interviews, newspapers, and published reports.

Conclusion This dissertation challenges the argument that movements are inconsequential. Some view federal agencies, courts, political parties, or economic elites as the agents driving institutional change, but typically these groups acted in response to movement demands and the leverage brought to bear by the civil rights movement. The Mississippi movement attempted to forge independent structures for sustaining challenges to local inequities and injustices. By propelling change in an array of local institutions, movement infrastructures had an enduring legacy in Mississippi.

Keywords social movements Civil Rights Movement Mississippi voting rights desegregation

Example 2: Science Abstract

Luis Lehner, “Gravitational radiation from black hole spacetimes” Ph.D. University of Pittsburgh, 1998 DAI-B 59/06, p. 2797, Dec 1998

The problem of detecting gravitational radiation is receiving considerable attention with the construction of new detectors in the United States, Europe, and Japan. The theoretical modeling of the wave forms that would be produced in particular systems will expedite the search for and analysis of detected signals. The characteristic formulation of GR is implemented to obtain an algorithm capable of evolving black holes in 3D asymptotically flat spacetimes. Using compactification techniques, future null infinity is included in the evolved region, which enables the unambiguous calculation of the radiation produced by some compact source. A module to calculate the waveforms is constructed and included in the evolution algorithm. This code is shown to be second-order convergent and to handle highly non-linear spacetimes. In particular, we have shown that the code can handle spacetimes whose radiation is equivalent to a galaxy converting its whole mass into gravitational radiation in one second. We further use the characteristic formulation to treat the region close to the singularity in black hole spacetimes. The code carefully excises a region surrounding the singularity and accurately evolves generic black hole spacetimes with apparently unlimited stability.

This science abstract covers much of the same ground as the humanities one, but it asks slightly different questions.

Why do this study The problem of detecting gravitational radiation is receiving considerable attention with the construction of new detectors in the United States, Europe, and Japan. The theoretical modeling of the wave forms that would be produced in particular systems will expedite the search and analysis of the detected signals.

What the study does The characteristic formulation of GR is implemented to obtain an algorithm capable of evolving black holes in 3D asymptotically flat spacetimes. Using compactification techniques, future null infinity is included in the evolved region, which enables the unambiguous calculation of the radiation produced by some compact source. A module to calculate the waveforms is constructed and included in the evolution algorithm.

Results This code is shown to be second-order convergent and to handle highly non-linear spacetimes. In particular, we have shown that the code can handle spacetimes whose radiation is equivalent to a galaxy converting its whole mass into gravitational radiation in one second. We further use the characteristic formulation to treat the region close to the singularity in black hole spacetimes. The code carefully excises a region surrounding the singularity and accurately evolves generic black hole spacetimes with apparently unlimited stability.

Keywords gravitational radiation (GR) spacetimes black holes

Works consulted

We consulted these works while writing this handout. This is not a comprehensive list of resources on the handout’s topic, and we encourage you to do your own research to find additional publications. Please do not use this list as a model for the format of your own reference list, as it may not match the citation style you are using. For guidance on formatting citations, please see the UNC Libraries citation tutorial . We revise these tips periodically and welcome feedback.

Belcher, Wendy Laura. 2009. Writing Your Journal Article in Twelve Weeks: A Guide to Academic Publishing Success. Thousand Oaks, CA: Sage Press.

Koopman, Philip. 1997. “How to Write an Abstract.” Carnegie Mellon University. October 1997. http://users.ece.cmu.edu/~koopman/essays/abstract.html .

Lancaster, F.W. 2003. Indexing And Abstracting in Theory and Practice , 3rd ed. London: Facet Publishing.

You may reproduce it for non-commercial use if you use the entire handout and attribute the source: The Writing Center, University of North Carolina at Chapel Hill

Make a Gift

How to Write an Abstract for a Scientific Paper

  • Chemical Laws
  • Periodic Table
  • Projects & Experiments
  • Scientific Method
  • Biochemistry
  • Physical Chemistry
  • Medical Chemistry
  • Chemistry In Everyday Life
  • Famous Chemists
  • Activities for Kids
  • Abbreviations & Acronyms
  • Weather & Climate
  • Ph.D., Biomedical Sciences, University of Tennessee at Knoxville
  • B.A., Physics and Mathematics, Hastings College

If you're preparing a research paper or grant proposal, you'll need to know how to write an abstract. Here's a look at what an abstract is and how to write one.

An abstract is a concise summary of an experiment or research project. It should be brief -- typically under 200 words. The purpose of the abstract is to summarize the research paper by stating the purpose of the research, the experimental method, the findings, and the conclusions.

  • How to Write an Abstract

The format you'll use for the abstract depends on its purpose. If you're writing for a specific publication or a class assignment, you'll probably need to follow specific guidelines. If there isn't a required format, you'll need to choose from one of two possible types of abstracts.

Informational Abstracts

An informational abstract is a type of abstract used to communicate an experiment or lab report .

  • An informational abstract is like a mini-paper. Its length ranges from a paragraph to 1 to 2 pages, depending on the scope of the report. Aim for less than 10% the length of the full report.
  • Summarize all aspects of the report, including purpose, method, results, conclusions, and recommendations. There are no graphs, charts, tables, or images in an abstract. Similarly, an abstract does not include a bibliography or references.
  • Highlight important discoveries or anomalies. It's okay if the experiment did not go as planned and necessary to state the outcome in the abstract.

Here is a good format to follow, in order, when writing an informational abstract. Each section is a sentence or two long:

  • Motivation or Purpose: State why the subject is important or why anyone should care about the experiment and its results.
  • Problem: State the hypothesis of the experiment or describe the problem you are trying to solve.
  • Method: How did you test the hypothesis or try to solve the problem?
  • Results: What was the outcome of the study? Did you support or reject a hypothesis? Did you solve a problem? How close were the results to what you expected? State-specific numbers.
  • Conclusions: What is the significance of your findings? Do the results lead to an increase in knowledge, a solution that may be applied to other problems, etc.?

Need examples? The abstracts at PubMed.gov (National Institutes of Health database) are informational abstracts. A random example is this abstract on the effect of coffee consumption on Acute Coronary Syndrome .

Descriptive Abstracts

A descriptive abstract is an extremely brief description of the contents of a report. Its purpose is to tell the reader what to expect from the full paper.

  • A descriptive abstract is very short, typically less than 100 words.
  • Tells the reader what the report contains, but doesn't go into detail.
  • It briefly summarizes the purpose and experimental method, but not the results or conclusions. Basically, say why and how the study was made, but don't go into findings. 

Tips for Writing a Good Abstract

  • Write the paper before writing the abstract. You might be tempted to start with the abstract since it comes between the title page and the paper, but it's much easier to summarize a paper or report after it has been completed.
  • Write in the third person. Replace phrases like "I found" or "we examined" with phrases like "it was determined" or "this paper provides" or "the investigators found".
  • Write the abstract and then pare it down to meet the word limit. In some cases, a long abstract will result in automatic rejection for publication or a grade!
  • Think of keywords and phrases a person looking for your work might use or enter into a search engine. Include those words in your abstract. Even if the paper won't be published, this is a good habit to develop.
  • All information in the abstract must be covered in the body of the paper. Don't put a fact in the abstract that isn't described in the report.
  • Proof-read the abstract for typos, spelling mistakes, and punctuation errors.
  • Null Hypothesis Examples
  • Abstract Writing for Sociology
  • How to Write a Science Fair Project Report
  • How to Format a Biology Lab Report
  • Six Steps of the Scientific Method
  • How to Write a Lab Report
  • Science Lab Report Template - Fill in the Blanks
  • How to Write a Research Paper That Earns an A
  • An Introduction to Academic Writing
  • Writing an Annotated Bibliography for a Paper
  • Null Hypothesis Definition and Examples
  • Scientific Method Flow Chart
  • How To Design a Science Fair Experiment
  • Writing Patent Application Abstracts
  • Writing a Paper about an Environmental Issue

Logo for Dr Anna Clemens PhD who teaches scientific writing courses for researchers

How to Write an Abstract for a Research Paper

How to Write an Abstract for a Research Paper

The abstract is the most important piece of your scientific article. In this post, you’ll get your hands on the scientific abstract template that normally only members of our scientific writing program , the Researchers’ Writing Academy, get access to! Writing a scientific abstract according to the suggested scientific abstract structure will make your paper more likely to get accepted, read and cited.

Take a few seconds and think how you read other researchers’ papers. Let me guess… You first read the title and then you read the abstract , right? This means the scientific abstract is the second impression you will make on your editor and peer-reviewers too. Therefore, it’s worthwhile to tweak the abstract for a research paper until it is, oh yes, perfect.

WRITING A SCIENTIFIC ABSTRACT – THE READER’S PERSPECTIVE

So, what would you like to know when you read the abstract of a scientific paper? I’m guessing you would either like to understand whether the scientific paper reports a specific finding you are looking for or you are just generally curious what the paper is about. This is why a scientific abstract should make sense on its own — the reader shouldn’t be required to read the whole scientific article to understand the context, main result or conclusion of the study.

Instead, it’s helpful for the reader when the scientific abstract is told as a story. Identifying the story of the scientific paper we are writing is the first step in the writing process that I guide researchers through inside the Researchers’ Writing Academy . Telling a story in your scientific paper will make it easier for your reader to understand the results you are communicating AND their significance.  

Graphic promoting the free training to learn how to develop the scientific story of your paper and write an abstract

HOW TO WRITE A SCIENTIFIC ABSTRACT

So, how do we write a research abstract that tells a story? Here are the components your scientific abstract needs to include so that it tells a story:

  • Context to your research topic
  • Context to your particular study
  • The specific problem you solve
  • The central message of your paper
  • A summary of your main results
  • The broader perspective that put your results into context

Ideally, you are already super clear on each component before you start writing a scientific abstract. Once your paper is written, you can then just put these story components together in a single paragraph, and voilà, the abstract of your scientific paper is ready.

SCIENTIFIC ABSTRACT TEMPLATE

You’re going to like what’s coming because I’m giving you the exact template that I teach our Researchers’ Writing Academy members. This scientific abstract template works for many journals. However, some journals specify a scientific abstract structure. In this case, I recommend to allocate the components described above to the prompts you are being given by the journal.

Here’s how you write an abstract for a research paper:

1. PROVIDE CONTEXT TO YOUR RESEARCH TOPIC

The first one or two sentences create the setting and provide an introduction to the topic of your study. As a rule of thumb, every reader of the journal should understand this first part of your scientific abstract. This means that for a journal with a broad readership, the introduction is ideally quite general. Use the present tense.

2. PROVIDE CONTEXT TO YOUR PARTICULAR STUDY

You can use the next one or two sentences of your scientific abstract to delve deeper into the introduction to your scientific study. Provide the background that your reader will need to understand what context your study is situated in. This is written in present tense too.

3. DESCRIBE THE SPECIFIC PROBLEM YOU SOLVE

Now it’s time to introduce tension! State the problem in the research field that your study addresses — in one concise sentence. Here it’s important to be as specific as possible. Present tense for this one too.

4. STATE YOUR CENTRAL MESSAGE

Then you summarise the central message of your research starting with phrases such as “Here, we show”, “In this article, we demonstrate” or similar. Ideally, this sentence is the exact answer to the problem stated in step 3. Still present tense. 

5. SUMMARISE YOUR RESULTS

It’s finally time to talk about your findings in two or three sentences. Here it is important to focus on the most important results. Don’t make the mistake of describing several results in one sentence. When it comes to the methods you used, only mention them if they are central to the central message you described in step 4. Write these sentences in the past tense.

6. STATE THE BROAD PERSPECTIVE

In the last one or two sentences of your scientific abstract, put your results in a broader perspective. Explain why your findings are significant and what impact your findings are likely or possibly going to make in your field of research or for an application – be as specific as possible here. Use the present and/or future tense here.

WRITING A SCIENTIFIC ABSTRACT – NEXT STEPS

If you use the above scientific abstract template, your abstract will make sense on its own, present a concise summary of your scientific paper and tell a compelling story.

But I know from experience how hard it can be to nail each component of the scientific abstract. The prompts are relatively simple but it pays off to nail each one of them!

The good news is that this is exactly what we help you with inside the Researchers’ Writing Academy. If you want us to coach you through defining the scientific story of your paper and writing a concise, coherent and compelling abstract, I recommend watching our free training class! It’s only an hour long, and by clicking the orange button below you can get immediate access or save it for later. So, click the button now!

Graphic inviting scientist to register for our free interactive writing training

Share article

© Copyright 2018-2024 by Anna Clemens. All Rights Reserved. 

Photography by Alice Dix

  • Research Guides

BSCI 1510L Literature and Stats Guide: 3.2 Components of a scientific paper

  • 1 What is a scientific paper?
  • 2 Referencing and accessing papers
  • 2.1 Literature Cited
  • 2.2 Accessing Scientific Papers
  • 2.3 Traversing the web of citations
  • 2.4 Keyword Searches
  • 3 Style of scientific writing
  • 3.1 Specific details regarding scientific writing

3.2 Components of a scientific paper

  • 4 For further information
  • Appendix A: Calculation Final Concentrations
  • 1 Formulas in Excel
  • 2 Basic operations in Excel
  • 3 Measurement and Variation
  • 3.1 Describing Quantities and Their Variation
  • 3.2 Samples Versus Populations
  • 3.3 Calculating Descriptive Statistics using Excel
  • 4 Variation and differences
  • 5 Differences in Experimental Science
  • 5.1 Aside: Commuting to Nashville
  • 5.2 P and Detecting Differences in Variable Quantities
  • 5.3 Statistical significance
  • 5.4 A test for differences of sample means: 95% Confidence Intervals
  • 5.5 Error bars in figures
  • 5.6 Discussing statistics in your scientific writing
  • 6 Scatter plot, trendline, and linear regression
  • 7 The t-test of Means
  • 8 Paired t-test
  • 9 Two-Tailed and One-Tailed Tests
  • 10 Variation on t-tests: ANOVA
  • 11 Reporting the Results of a Statistical Test
  • 12 Summary of statistical tests
  • 1 Objectives
  • 2 Project timeline
  • 3 Background
  • 4 Previous work in the BSCI 111 class
  • 5 General notes about the project
  • 6 About the paper
  • 7 References

Nearly all journal articles are divided into the following major sections: abstract, introduction, methods, results, discussion, and references.  Usually the sections are labeled as such, although often the introduction (and sometimes the abstract) is not labeled.  Sometimes alternative section titles are used.  The abstract is sometimes called the "summary", the methods are sometimes called "materials and methods", and the discussion is sometimes called "conclusions".   Some journals also include the minor sections of "key words" following the abstract, and "acknowledgments" following the discussion.  In some journals, the sections may be divided into subsections that are given descriptive titles.  However, the general division into the six major sections is nearly universal.

3.2.1 Abstract

The abstract is a short summary (150-200 words or less) of the important points of the paper.  It does not generally include background information.  There may be a very brief statement of the rationale for conducting the study.  It describes what was done, but without details.  It also describes the results in a summarized way that usually includes whether or not the statistical tests were significant.  It usually concludes with a brief statement of the importance of the results.  Abstracts do not include references.  When writing a paper, the abstract is always the last part to be written.

The purpose of the abstract is to allow potential readers of a paper to find out the important points of the paper without having to actually read the paper.  It should be a self-contained unit capable of being understood without the benefit of the text of the article . It essentially serves as an "advertisement" for the paper that readers use to determine whether or not they actually want to wade through the entire paper or not.  Abstracts are generally freely available in electronic form and are often presented in the results of an electronic search.  If searchers do not have electronic access to the journal in which the article is published, the abstract is the only means that they have to decide whether to go through the effort (going to the library to look up the paper journal, requesting a reprint from the author, buying a copy of the article from a service, requesting the article by Interlibrary Loan) of acquiring the article.  Therefore it is important that the abstract accurately and succinctly presents the most important information in the article.

3.2.2 Introduction

The introduction provides the background information necessary to understand why the described experiment was conducted.  The introduction should describe previous research on the topic that has led to the unanswered questions being addressed by the experiment and should cite important previous papers that form the background for the experiment.  The introduction should also state in an organized fashion the goals of the research, i.e. the particular, specific questions that will be tested in the experiments.  There should be a one-to-one correspondence between questions raised in the introduction and points discussed in the conclusion section of the paper.  In other words, do not raise questions in the introduction unless you are going to have some kind of answer to the question that you intend to discuss at the end of the paper. 

You may have been told that every paper must have a hypothesis that can be clearly stated.  That is often true, but not always.  If your experiment involves a manipulation which tests a specific hypothesis, then you should clearly state that hypothesis.  On the other hand, if your experiment was primarily exploratory, descriptive, or measurative, then you probably did not have an a priori hypothesis, so don't pretend that you did and make one up.  (See the discussion in the introduction to Experiment 4 for more on this.)  If you state a hypothesis in the introduction, it should be a general hypothesis and not a null or alternative hypothesis for a statistical test.  If it is necessary to explain how a statistical test will help you evaluate your general hypothesis, explain that in the methods section. 

A good introduction should be fairly heavy with citations.  This indicates to the reader that the authors are informed about previous work on the topic and are not working in a vacuum.  Citations also provide jumping-off points to allow the reader to explore other tangents to the subject that are not directly addressed in the paper.  If the paper supports or refutes previous work, readers can look up the citations and make a comparison for themselves. 

"Do not get lost in reviewing background information. Remember that the Introduction is meant to introduce the reader to your research, not summarize and evaluate all past literature on the subject (which is the purpose of a review paper). Many of the other studies you may be tempted to discuss in your Introduction are better saved for the Discussion, where they become a powerful tool for comparing and interpreting your results. Include only enough background information to allow your reader to understand why you are asking the questions you are and why your hyptheses are reasonable ones. Often, a brief explanation of the theory involved is sufficient. …

Write this section in the past or present tense, never in the future. " (Steingraber et al. 1985)

3.2.3 Methods (taken verbatim from Steingraber et al. 1985)

The function of this section is to describe all experimental procedures, including controls. The description should be complete enough to enable someone else to repeat your work. If there is more than one part to the experiment, it is a good idea to describe your methods and present your results in the same order in each section. This may not be the same order in which the experiments were performed -it is up to you to decide what order of presentation will make the most sense to your reader.

1. Explain why each procedure was done, i.e., what variable were you measuring and why? Example:

Difficult to understand : First, I removed the frog muscle and then I poured Ringer’s solution on it. Next, I attached it to the kymograph.

Improved: I removed the frog muscle and poured Ringer’s solution on it to prevent it from drying out. I then attached the muscle to the kymograph in order to determine the minimum voltage required for contraction.

2. Experimental procedures and results are narrated in the past tense (what you did, what you found, etc.) whereas conclusions from your results are given in the present tense.

3. Mathematical equations and statistical tests are considered mathematical methods and should be described in this section along with the actual experimental work.

4. Use active rather than passive voice when possible.  [Note: see Section 3.1.4 for more about this.]  Always use the singular "I" rather than the plural "we" when you are the only author of the paper.  Throughout the paper, avoid contractions, e.g. did not vs. didn’t.

5. If any of your methods is fully described in a previous publication (yours or someone else’s), you can cite that instead of describing the procedure again.

Example: The chromosomes were counted at meiosis in the anthers with the standard acetocarmine technique of Snow (1955).

3.2.4 Results (with excerpts from Steingraber et al. 1985)

The function of this section is to summarize general trends in the data without comment, bias, or interpretation. The results of statistical tests applied to your data are reported in this section although conclusions about your original hypotheses are saved for the Discussion section.

Tables and figures should be used when they are a more efficient way to convey information than verbal description. They must be independent units, accompanied by explanatory captions that allow them to be understood by someone who has not read the text. Do not repeat in the text the information in tables and figures, but do cite them, with a summary statement when that is appropriate.  Example:

Incorrect: The results are given in Figure 1.

Correct: Temperature was directly proportional to metabolic rate (Fig. 1).

Please note that the entire word "Figure" is almost never written in an article.  It is nearly always abbreviated as "Fig." and capitalized.  Tables are cited in the same way, although Table is not abbreviated.

Whenever possible, use a figure instead of a table. Relationships between numbers are more readily grasped when they are presented graphically rather than as columns in a table.

Data may be presented in figures and tables, but this may not substitute for a verbal summary of the findings. The text should be understandable by someone who has not seen your figures and tables.

1. All results should be presented, including those that do not support the hypothesis.

2. Statements made in the text must be supported by the results contained in figures and tables.

3. The results of statistical tests can be presented in parentheses following a verbal description.

Example: Fruit size was significantly greater in trees growing alone (t = 3.65, df = 2, p < 0.05).

Simple results of statistical tests may be reported in the text as shown in the preceding example.  The results of multiple tests may be reported in a table if that increases clarity. (See Section 11 of the Statistics Manual for more details about reporting the results of statistical tests.)  It is not necessary to provide a citation for a simple t-test of means, paired t-test, or linear regression.  If you use other tests, you should cite the text or reference you followed to do the test.  In your materials and methods section, you should report how you did the test (e.g. using the statistical analysis package of Excel). 

It is NEVER appropriate to simply paste the results from statistical software into the results section of your paper.  The output generally reports more information than is required and it is not in an appropriate format for a paper.

3.2.4.1 Tables

  • Do not repeat information in a table that you are depicting in a graph or histogram; include a table only if it presents new information.
  • It is easier to compare numbers by reading down a column rather than across a row. Therefore, list sets of data you want your reader to compare in vertical form.
  • Provide each table with a number (Table 1, Table 2, etc.) and a title. The numbered title is placed above the table .
  • Please see Section 11 of the Excel Reference and Statistics Manual for further information on reporting the results of statistical tests.

3.2.4.2. Figures

  • These comprise graphs, histograms, and illustrations, both drawings and photographs. Provide each figure with a number (Fig. 1, Fig. 2, etc.) and a caption (or "legend") that explains what the figure shows. The numbered caption is placed below the figure .  Figure legend = Figure caption.
  • Figures submitted for publication must be "photo ready," i.e., they will appear just as you submit them, or photographically reduced. Therefore, when you graduate from student papers to publishable manuscripts, you must learn to prepare figures that will not embarrass you. At the present time, virtually all journals require manuscripts to be submitted electronically and it is generally assumed that all graphs and maps will be created using software rather than being created by hand.  Nearly all journals have specific guidelines for the file types, resolution, and physical widths required for figures.  Only in a few cases (e.g. sketched diagrams) would figures still be created by hand using ink and those figures would be scanned and labeled using graphics software.  Proportions must be the same as those of the page in the journal to which the paper will be submitted. 
  • Graphs and Histograms: Both can be used to compare two variables. However, graphs show continuous change, whereas histograms show discrete variables only.  You can compare groups of data by plotting two or even three lines on one graph, but avoid cluttered graphs that are hard to read, and do not plot unrelated trends on the same graph. For both graphs, and histograms, plot the independent variable on the horizontal (x) axis and the dependent variable on the vertical (y) axis. Label both axes, including units of measurement except in the few cases where variables are unitless, such as absorbance.
  • Drawings and Photographs: These are used to illustrate organisms, experimental apparatus, models of structures, cellular and subcellular structure, and results of procedures like electrophoresis. Preparing such figures well is a lot of work and can be very expensive, so each figure must add enough to justify its preparation and publication, but good figures can greatly enhance a professional article, as your reading in biological journals has already shown.

3.2.5 Discussion (taken from Steingraber et al. 1985)

The function of this section is to analyze the data and relate them to other studies. To "analyze" means to evaluate the meaning of your results in terms of the original question or hypothesis and point out their biological significance.

1. The Discussion should contain at least:

  • the relationship between the results and the original hypothesis, i.e., whether they support the hypothesis, or cause it to be rejected or modified
  • an integration of your results with those of previous studies in order to arrive at explanations for the observed phenomena
  • possible explanations for unexpected results and observations, phrased as hypotheses that can be tested by realistic experimental procedures, which you should describe

2. Trends that are not statistically significant can still be discussed if they are suggestive or interesting, but cannot be made the basis for conclusions as if they were significant.

3. Avoid redundancy between the Results and the Discussion section. Do not repeat detailed descriptions of the data and results in the Discussion. In some journals, Results and Discussions are joined in a single section, in order to permit a single integrated treatment with minimal repetition. This is more appropriate for short, simple articles than for longer, more complicated ones.

4. End the Discussion with a summary of the principal points you want the reader to remember. This is also the appropriate place to propose specific further study if that will serve some purpose, but do not end with the tired cliché that "this problem needs more study." All problems in biology need more study. Do not close on what you wish you had done, rather finish stating your conclusions and contributions.

3.2.6 Title

The title of the paper should be the last thing that you write.  That is because it should distill the essence of the paper even more than the abstract (the next to last thing that you write). 

The title should contain three elements:

1. the name of the organism studied;

2. the particular aspect or system studied;

3. the variable(s) manipulated.

Do not be afraid to be grammatically creative. Here are some variations on a theme, all suitable as titles:

THE EFFECT OF TEMPERATURE ON GERMINATION OF ZEA MAYS

DOES TEMPERATURE AFFECT GERMINATION OF ZEA MAYS?

TEMPERATURE AND ZEA MAYS GERMINATION: IMPLICATIONS FOR AGRICULTURE

Sometimes it is possible to include the principal result or conclusion in the title:

HIGH TEMPERATURES REDUCE GERMINATION OF ZEA MAYS

Note for the BSCI 1510L class: to make your paper look more like a real paper, you can list all of the other group members as co-authors.  However, if you do that, you should list you name first so that we know that you wrote it.

3.2.7 Literature Cited

Please refer to section 2.1 of this guide.

  • << Previous: 3.1 Specific details regarding scientific writing
  • Next: 4 For further information >>
  • Last Updated: Apr 22, 2024 12:50 PM
  • URL: https://researchguides.library.vanderbilt.edu/bsci1510L

Creative Commons License

Extracting problem and method sentence from scientific papers: a context-enhanced transformer using formulaic expression desensitization

  • Published: 27 May 2024

Cite this article

scientific research paper abstract

  • Yingyi Zhang 1 &
  • Chengzhi Zhang   ORCID: orcid.org/0000-0001-9522-2914 2  

Billions of scientific papers lead to the need to identify essential parts from the massive text. Scientific research is an activity from putting forward problems to using methods. To learn the main idea from scientific papers, we focus on extracting problem and method sentences. Annotating sentences within scientific papers is labor-intensive, resulting in small-scale datasets that limit the amount of information models can learn. This limited information leads models to rely heavily on specific forms, which in turn reduces their generalization capabilities. This paper addresses the problems caused by small-scale datasets from three perspectives: increasing dataset scale, reducing dependence on specific forms, and enriching the information within sentences. To implement the first two ideas, we introduce the concept of formulaic expression (FE) desensitization and propose FE desensitization-based data augmenters to generate synthetic data and reduce models’ reliance on FEs. For the third idea, we propose a context-enhanced transformer that utilizes context to measure the importance of words in target sentences and to reduce noise in the context. Furthermore, this paper conducts experiments using large language model (LLM) based in-context learning (ICL) methods. Quantitative and qualitative experiments demonstrate that our proposed models achieve a higher macro F 1 score compared to the baseline models on two scientific paper datasets, with improvements of 3.71% and 2.67%, respectively. The LLM based ICL methods are found to be not suitable for the task of problem and method extraction.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price includes VAT (Russian Federation)

Instant access to the full article PDF.

Rent this article via DeepDyve

Institutional subscriptions

scientific research paper abstract

Agrawal, M., Hegselmann, S., Lang, H., Kim, Y., & Sontag, D. A. (2022).Large language models are few-shot clinical information extractors. In Proceedings of the 2022 conference on empirical methods in natural language processing, EMNLP (pp. 1998–2022). Association for Computational Linguistics. https://aclanthology.org/2022.emnlp-main.130

Beltagy, I., Lo, K., & Cohan, A. (2019). SciBERT: A pretrained language model for scientific text. In Proceedings of the 2019 conference on empirical methods in natural language processing and the 9th international joint conference on natural language processing, (EMNLP-IJCNLP) (pp. 3615–3620). Association for Computational Linguistics. https://aclanthology.org/D19-1371

Bornmann, L., & Mutz, R. (2015). Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references. Journal of the Association for Information Science and Technology, 66 (11), 2215–2222. https://doi.org/10.1002/asi.23329

Article   Google Scholar  

Boudin, F., Nie, J. Y., Bartlett, J. C., Grad, R., Pluye, P., & Dawes, M. (2010). Combining classifiers for robust PICO element detection. BMC Medical Informatics and Decision Making, 10 (1), 1–6. https://doi.org/10.1186/1472-6947-10-29

Chao, W., Chen, M., Zhou, X., & Luo, Z. (2023). A joint framework for identifying the type and arguments of scientific contribution. Scientometrics, 128 (6), 3347–3376. https://doi.org/10.1007/s11192-023-04694-6

Chen, Y., Hu, D., Li, M., Duan, H., & Lu, X. (2022). Automatic SNOMED CT coding of Chinese clinical terms via attention-based semantic matching. International Journal of Medical Informatics, 159 , 104676. https://doi.org/10.1016/j.ijmedinf.2021.104676

Deng, M., Wang, J., Hsieh, C.-P., Wang, Y., Guo, H., Shu, T., Song, M., Xing, E., & Hu, Z. (2022). RLPrompt: Optimizing discrete text prompts with reinforcement learning. In Proceedings of the 2022 conference on empirical methods in natural language processing (EMNLP) (pp. 3369–3391). Association for Computational Linguistics. https://aclanthology.org/2022.emnlp-main.222

Dernoncourt, F., Lee, J. Y., & Szolovits, P. (2016). Neural networks for joint sentence classification in medical paper abstracts. In Proceedings of the 15th conference of the european chapter of the association for computational linguistics, EACL (pp. 694–700). Association for Computational Linguistics. https://aclanthology.org/E17-2110

Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019). BERT: Pretraining of deep bidirectional transformers for language understanding. In Proceedings of the 2019 conference of the north american chapter of the association for computational linguistics: human language technologies, NAACL (pp. 4171–4186). Association for Computational Linguistics. https://aclanthology.org/N19-1423

Ding, B., Qin, C., Liu, L., Bing, L., Joty, S. R., & Li, B. (2022). Is GPT-3 a good data annotator? Preprint retrived form https://arxiv.org/abs/2212.10450

Dong, Q., Li, L., Dai, D., Zheng, C., Wu, Z., Chang, B., Sun, X., Xu, J., Li, L., & Sui, Z. (2023). A survey on in-context learning. Preprint retrieved form http://arxiv.org/abs/2301.00234

Fisas, B., Saggion, H., & Ronzano, F. (2015). On the discoursive structure of computer graphics research papers. In Proceedings of the 9th linguistic annotation workshop, SIGANN (pp. 42–51). Association for Computational Linguistics. https://doi.org/10.3115/v1/W15-1605

Gonçalves, S., Cortez, P., & Moro, S. (2020). A deep learning classifier for sentence classification in biomedical and computer science abstracts. Neural Computing and Applications, 32 (11), 6793–6807. https://doi.org/10.1007/s00521-019-04334-2

Graça, M., Kim, Y., Schamper, J., Khadivi, S., & Ney, H. (2019). Generalizing Back-Translation in Neural Machine Translation. In Proceedings of the fourth conference on machine translation, WMT (pp. 45–52). Association for Computational Linguistics.

Graves, A., & Schmidhuber, J. (2005). Framewise phoneme classification with bidirectional LSTM networks. In Proceedings of the 2005 IEEE international joint conference on neural networks, IJCNN (pp. 2047–2052). IEEE. https://doi.org/10.1109/IJCNN.2005.1556215

Heffernan, K., & Teufel, S. (2018). Identifying problems and solutions in scientific text. Scientometrics, 116 (2), 1367–1382. https://doi.org/10.1007/s11192-018-2718-6

Iwatsuki, K., & Aizawa, A. (2021). Communicative-function-based sentence classification for construction of an academic formulaic expression database. In Proceedings of the 16th conference of the European chapter of the association for computational linguistics, EACL (pp. 3476–3497). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.eacl-main.304

Jin, D., & Szolovits, P. (2018). Hierarchical neural networks for sequential sentence classification in medical scientific abstracts. In Proceedings of the 2018 conference on empirical methods in natural language processing, EMNLP (pp. 3100–3109). Association for Computational Linguistics. https://aclanthology.org/D18-1349

Kim, S. N., Martinez, D., Cavedon, L., & Yencken, L. (2011). Automatic classification of sentences to support evidence based medicine. BMC Bioinformatics, 12 (S2), S5. https://doi.org/10.1186/1471-2105-12-S2-S5

Kobayashi, S. (2018). Contextual augmentation: Data augmentation by words with paradigmatic relations. In Proceedings of the 2018 conference of the north american chapter of the association for computational linguistics: Human language technologies, NAACL (pp. 452–457). Association for Computational Linguistics. https://aclanthology.org/N18-2072

Kovačević, A., Konjović, Z., Milosavljević, B., & Nenadic, G. (2012). Mining methodologies from NLP publications: A case study in automatic terminology recognition. Computer Speech & Language, 26 (2), 105–126. https://doi.org/10.1016/j.csl.2011.09.001

La Quatra, M., & Cagliero, L. (2022). Transformer-based highlights extraction from scientific papers. Knowledge-Based Systems, 252 , 109382. https://doi.org/10.1016/j.knosys.2022.109382

Liakata, M., Teufel, S., Siddharthan, A., & Batchelor, C. (2010). Corpora for the conceptualisation and zoning of scientific papers. In Proceedings of the 7th international conference on language resources and evaluation, LREC (pp. 2054–2061). European Language Resources Association. https://aclanthology.org/L10-1440

Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., & Stoyanov, V. (2019). Roberta: A robustly optimized bert pretraining approach. Preprint retrieved from https://arxiv.org/abs/1907.11692v1

Liu, Y., Wu, F., Liu, M., & Liu, B. (2013). Abstract sentence classification for scientific papers based on transductive SVM. Computer and Information Science, 6 (4), 125–131. https://doi.org/10.5539/cis.v6n4p125

Luan, Y., He, L., Ostendorf, M., & Hajishirzi, H. (2018). Multi-task identification of entities, relations, and coreference for scientific knowledge graph construction. In Proceedings of the 2018 conference on empirical methods in natural language processing, (EMNLP) (pp. 3219–3232). Association for Computational Linguistics. https://aclanthology.org/D18-1360

Luan, Y., Ostendorf, M., & Hajishirzi, H. (2017). Scientific information extraction with semi-supervised neural tagging. In Proceedings of the 2017 conference on empirical methods in natural language processing, EMNLP (pp. 2641–2651). Association for Computational Linguistics. https://doi.org/10.18653/v1/d17-1279

Luo, Z., Lu, W., He, J., & Wang, Y. (2022). Combination of research questions and methods: A new measurement of scientific novelty. Journal of Informetrics, 16 (2), 101282. https://doi.org/10.1016/j.joi.2022.101282

Madaan, A., Tandon, N., Gupta, P., Hallinan, S., Gao, L., Wiegreffe, S., Alon, U., Dziri, N., Prabhumoye, S., Yang, Y., Gupta, S., Majumder, B. P., Hermann, K., Welleck, S., Yazdanbakhsh, A., & Clark, P. (2023). Self-refine: Iterative refinement with self-feedback. Preprint retrieved form https://arxiv.org/abs/2303.17651

Maier Ferreira, T., & Reali Costa, A. H. (2020). DeepBT and NLP data augmentation techniques: a new proposal and a comprehensive study. In Proceeding of intelligent systems: 9th Brazilian conference, BRACIS (pp. 435–449). Springer International Publishing. https://doi.org/10.1007/978-3-030-61377-8_30

Manning, C. D., Surdeanu, M., Bauer, J., Finkel, J. R., Bethard, S., & McClosky, D. (2014). The stanford CoreNLP natural language processing toolkit. In Proceedings of 52nd annual meeting of the association for computational linguistics: System demonstrations, ACL (pp. 55–60). Association for Computational Linguistics. https://doi.org/10.3115/v1/P14-5010

Mutlu, B., Sezer, E. A., & Akcayol, M. A. (2020). Candidate sentence selection for extractive text summarization. Information Processing & Management, 57 (6), 102359. https://doi.org/10.1016/j.ipm.2020.102359

Neves, M., Butzke, D., & Grune, B. (2019). Evaluation of scientific elements for text similarity in biomedical publications. In Proceedings of the 6th workshop on argument mining, ArgMining (pp. 124–135). Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-4515

Ng, N., Yee, K., Baevski, A., Ott, M., Auli, M., & Edunov, S. (2019). Facebook FAIR’s WMT19 news translation task submission. In Proceedings of the Fourth Conference on Machine Translation, (WMT) (pp. 314–319). Association for Computational Linguistics. https://aclanthology.org/W19-5333

Oelen, A., Stocker, M., & Auer, S. (2021). Crowdsourcing scholarly discourse annotations. In Proceeding of 26th international conference on intelligent user interfaces, IUI (pp. 464–474). Association for Computing Machinery. https://doi.org/10.1145/3397481.3450685

Pan, X., Yan, E., Wang, Q., & Hua, W. (2015). Assessing the impact of software on science: A bootstrapped learning of software entities in full-text papers. Journal of Informetrics, 9 (4), 860–871. https://doi.org/10.1016/j.joi.2015.07.012

Pennington, J., Socher, R., & Manning, C. (2014). GloVe: Global vectors for word representation. In Proceedings of the 2014 conference on empirical methods in natural language processing, EMNLP (pp. 1532–1543). Association for Computational Linguistics. https://doi.org/10.3115/v1/D14-1162

Raffel, C., & Ellis, D. P. W. (2016). Feed-forward networks with attention can solve some long-term memory problems. Preprint retrieved form https://arxiv.org/abs/1512.08756

Safder, I., & Hassan, S. U. (2019). Bibliometric-enhanced information retrieval: A novel deep feature engineering approach for algorithm searching from full-text publications. Scientometrics, 119 (1), 257–277. https://doi.org/10.1007/s11192-019-03025-y

Sakai, T., & Hirokawa, S. (2012). Feature words that classify problem sentence in scientific article. In Proceedings of the 14th international conference on information integration and web-based applications & services, IIWAS (pp. 360–367). Association for Computing Machinery. https://doi.org/10.1145/2428736.2428803

Shakeel, M. H., Karim, A., & Khan, I. (2020). A multi-cascaded model with data augmentation for enhanced paraphrase detection in short texts. Information processing & management , 57 (3), 102204. https://doi.org/10.1016/j.ipm.2020.102204

Shorten, C., Khoshgoftaar, T. M., & Furht, B. (2021). Text data augmentation for deep learning. Journal of big Data , 8 (1), 101. https://doi.org/10.1186/s40537-021-00492-0

Teufel, S., & Moens, M. (2002). Summarizing scientific articles: Experiments with relevance and rhetorical status. Computational Linguistics, 28 (4), 409–445. https://doi.org/10.1162/089120102762671936

Tokala, Y. S. S. S., Aluru, S. S., Vallabhajosyula, A., Sanyal, D. K., & Das, P. P. (2023). Label informed hierarchical transformers for sequential sentence classification in scientific abstracts. Expert Systems, 40 (6), e13238. https://doi.org/10.1111/exsy.13238

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., Polosukhin, I. (2017). Attention is all you need. In Proceedings of the advances in neural information processing systems, NIPS (pp. 6000–6010). Curran Associates Inc. https://doi.org/10.5555/3295222.3295349#sec-comments

Wang, W. Y., & Yang, D. (2015). That’s so annoying!!!: A lexical and frame-semantic embedding based data augmentation approach to automatic categorization of annoying behaviors using# petpeeve tweets. In: Proceedings of the 2015 conference on empirical methods in natural language processing (EMNLP) (pp.2557–2563). Association for Computational Linguistics. https://doi.org/10.18653/v1/D15-1306

Wang, Z., Shang, J., Liu, L., Lu, L., Liu, J., & Han, J. (2019). Crossweigh: Training named entity tagger from imperfect annotations. In Proceedings of the 2019 conference on empirical methods in natural language processing and the 9th international joint conference on natural language processing, (EMNLP-IJCNLP) (pp.5154–5163). Association for Computational Linguistics.

Wang, R., Zhang, C., Zhang, Y., & Zhang, J. (2020). Extracting methodological sentences from unstructured abstracts of academic articles. In Proceedings of the international conference on information, iConference (pp. 790–798). Springer. https://doi.org/10.1007/978-3-030-43687-2_66

Wei, J., & Zou, K. (2019). EDA: Easy data augmentation techniques for boosting performance on text classification tasks. In Proceedings of the 2019 conference on empirical methods in natural language processing and the 9th international joint conference on natural language processing (EMNLP-IJCNLP) (pp. 6382–6388). Association for Computational Linguistics.

Wilson, E. B. (1952). An introduction to scientific research . McGraw-Hill.

Google Scholar  

Wray, A. (2000). Formulaic sequences in second language teaching: Principle and practice. Applied Linguistics, 21 (4), 463–489. https://doi.org/10.1093/applin/21.4.463

Wu, X., Lv, S., Zang, L., Han, J., & Hu, S. (2018). Conditional BERT contextual augmentation. In Proceedings of the international conference on computational science (ICCS) (pp. 84–95). Springer. https://doi.org/10.1007/978-3-030-22747-0_7

Xie, Q., Dai, Z., Hovy, E., Luong, M.-T., & Le, Q. V. (2020). Unsupervised data augmentation for consistency training. In Proceedings of the advances in neural information processing systems (NIPS) (pp. 6256–6268). Curran Associates Inc. https://doi.org/10.5555/3495724.3496249

Yamamoto, Y., & Takagi, T. (2005). A sentence classification system for multi biomedical literature summarization. In Proceedings of the 21st international conference on data engineering workshops (ICDEW) (pp.1163–1163). IEEE. https://doi.org/10.1109/ICDE.2005.170

Yang, L., Na, J. C., & Yu, J. (2022). Cross-modal multitask transformer for end-to-end multimodal aspect-based sentiment analysis. Information Processing & Management, 59 (5), 103038. https://doi.org/10.1016/j.ipm.2022.103038

Yu, J., Jiang, J., Yang, L., & Xia, R. (2020). Improving multimodal named entity recognition via entity span detection with unified multimodal transformer. In Proceedings of the 58th annual meeting of the association for computational linguistics (ACL) (pp. 3342–3352). Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.acl-main.306

Zeng, X., Li, Y., Zhai, Y., & Zhang, Y. (2020). Counterfactual generator: A weakly-supervised method for named entity recognition. In  Proceedings of the 2020 conference on empirical methods in natural language processing (EMNLP)  (pp. 7270–7280). Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.emnlp-main.590

Zhang, H., & Ren, F. (2020). BERTatDE at SemEval-2020 task 6: Extracting term-definition pairs in free text using pre-trained model. In  Proceedings of the fourteenth workshop on semantic evaluation  (pp. 690–696). International Committee for Computational Linguistics. https://doi.org/10.18653/v1/2020.semeval-1.90

Zhang, Y., Zhang, C., & Li, J. (2020). Joint modeling of characters, words, and conversation contexts for microblog keyphrase extraction. Journal of the Association for Information Science and Technology, 71 (5), 553–567. https://doi.org/10.1002/asi.24279

Zhao, M., Yan, E., & Li, K. (2018). Data set mentions and citations: A content analysis of full-text publications. Journal of the Association for Information Science and Technology, 69 (1), 32–46. https://doi.org/10.1002/asi.23919

Article   MathSciNet   Google Scholar  

Zhao, D., Wang, J., Zhang, Y., Wang, X., Lin, H., & Yang, Z. (2020). Incorporating representation learning and multihead attention to improve biomedical cross-sentence n-ary relation extraction. BMC Bioinformatics, 21 (1), 312. https://doi.org/10.1186/s12859-020-03629-9

Zhou, Y., Dong, F., Liu, Y., Li, Z., Du, J., & Zhang, L. (2020). Forecasting emerging technologies using data augmentation and deep learning. Scientometrics, 123 (1), 1–29. https://doi.org/10.1007/s11192-020-03351-6

Download references

Acknowledgements

This work is supported by National Natural Science Foundation of China (Grant No.72074113).

Funding was provided by National Natural Science Foundation of China (Grant No. 72074113).

Author information

Authors and affiliations.

Department of Archives and E-Government, Soochow University, Suzhou, China

Yingyi Zhang

Department of Information Management, Nanjing University of Science and Technology, Nanjing, China

Chengzhi Zhang

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Chengzhi Zhang .

Ethics declarations

Conflict of interest.

The authors have no competing interests to declare that are relevant to the content of this article.

Additional information

Publisher's note.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Zhang, Y., Zhang, C. Extracting problem and method sentence from scientific papers: a context-enhanced transformer using formulaic expression desensitization. Scientometrics (2024). https://doi.org/10.1007/s11192-024-05048-6

Download citation

Received : 15 October 2023

Accepted : 30 April 2024

Published : 27 May 2024

DOI : https://doi.org/10.1007/s11192-024-05048-6

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

  • Sentence extraction from scientific papers
  • Problem and method sentence extraction
  • Data augmentation
  • Formulaic expression desensitization
  • Context-enhanced transformer
  • Find a journal
  • Publish with us
  • Track your research

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • View all journals
  • Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • Published: 14 May 2024

2023 summer warmth unparalleled over the past 2,000 years

  • Jan Esper   ORCID: orcid.org/0000-0003-3919-014X 1 , 2 ,
  • Max Torbenson   ORCID: orcid.org/0000-0003-2720-2238 1 &
  • Ulf Büntgen 2 , 3 , 4  

Nature ( 2024 ) Cite this article

3460 Altmetric

Metrics details

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

  • Climate change
  • Palaeoclimate

Including an exceptionally warm Northern Hemisphere (NH) summer 1 ,2 , 2023 has been reported as the hottest year on record 3-5 . Contextualizing recent anthropogenic warming against past natural variability is nontrivial, however, because the sparse 19 th century meteorological records tend to be too warm 6 . Here, we combine observed and reconstructed June-August (JJA) surface air temperatures to show that 2023 was the warmest NH extra-tropical summer over the past 2000 years exceeding the 95% confidence range of natural climate variability by more than half a degree Celsius. Comparison of the 2023 JJA warming against the coldest reconstructed summer in 536 CE reveals a maximum range of pre-Anthropocene-to-2023 temperatures of 3.93°C. Although 2023 is consistent with a greenhouse gases-induced warming trend 7 that is amplified by an unfolding El Niño event 8 , this extreme emphasizes the urgency to implement international agreements for carbon emission reduction.

This is a preview of subscription content, access via your institution

Access options

Access Nature and 54 other Nature Portfolio journals

Get Nature+, our best-value online-access subscription

24,99 € / 30 days

cancel any time

Subscribe to this journal

Receive 51 print issues and online access

185,98 € per year

only 3,65 € per issue

Rent or buy this article

Prices vary by article type

Prices may be subject to local taxes which are calculated during checkout

Similar content being viewed by others

scientific research paper abstract

The economic commitment of climate change

scientific research paper abstract

Urban development pattern’s influence on extreme rainfall occurrences

scientific research paper abstract

Steady threefold Arctic amplification of externally forced warming masked by natural variability

Author information, authors and affiliations.

Department of Geography, Johannes Gutenberg University, Mainz, Germany

Jan Esper & Max Torbenson

Global Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic

Jan Esper & Ulf Büntgen

Department of Geography, University of Cambridge, Cambridge, United Kingdom

Ulf Büntgen

Department of Geography, Masaryk University, Brno, Czech Republic

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Jan Esper .

Rights and permissions

Reprints and permissions

About this article

Cite this article.

Esper, J., Torbenson, M. & Büntgen, U. 2023 summer warmth unparalleled over the past 2,000 years. Nature (2024). https://doi.org/10.1038/s41586-024-07512-y

Download citation

Received : 16 January 2024

Accepted : 02 May 2024

Published : 14 May 2024

DOI : https://doi.org/10.1038/s41586-024-07512-y

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

By submitting a comment you agree to abide by our Terms and Community Guidelines . If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Quick links

  • Explore articles by subject
  • Guide to authors
  • Editorial policies

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

scientific research paper abstract

U.S. flag

An official website of the United States government

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

  • Publications
  • Account settings

Preview improvements coming to the PMC website in October 2024. Learn More or Try it out now .

  • Advanced Search
  • Journal List
  • Saudi J Anaesth
  • v.13(Suppl 1); 2019 Apr

Writing the title and abstract for a research paper: Being concise, precise, and meticulous is the key

Milind s. tullu.

Department of Pediatrics, Seth G.S. Medical College and KEM Hospital, Parel, Mumbai, Maharashtra, India

This article deals with formulating a suitable title and an appropriate abstract for an original research paper. The “title” and the “abstract” are the “initial impressions” of a research article, and hence they need to be drafted correctly, accurately, carefully, and meticulously. Often both of these are drafted after the full manuscript is ready. Most readers read only the title and the abstract of a research paper and very few will go on to read the full paper. The title and the abstract are the most important parts of a research paper and should be pleasant to read. The “title” should be descriptive, direct, accurate, appropriate, interesting, concise, precise, unique, and should not be misleading. The “abstract” needs to be simple, specific, clear, unbiased, honest, concise, precise, stand-alone, complete, scholarly, (preferably) structured, and should not be misrepresentative. The abstract should be consistent with the main text of the paper, especially after a revision is made to the paper and should include the key message prominently. It is very important to include the most important words and terms (the “keywords”) in the title and the abstract for appropriate indexing purpose and for retrieval from the search engines and scientific databases. Such keywords should be listed after the abstract. One must adhere to the instructions laid down by the target journal with regard to the style and number of words permitted for the title and the abstract.

Introduction

This article deals with drafting a suitable “title” and an appropriate “abstract” for an original research paper. Because the “title” and the “abstract” are the “initial impressions” or the “face” of a research article, they need to be drafted correctly, accurately, carefully, meticulously, and consume time and energy.[ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 ] Often, these are drafted after the complete manuscript draft is ready.[ 2 , 3 , 4 , 5 , 9 , 10 , 11 ] Most readers will read only the title and the abstract of a published research paper, and very few “interested ones” (especially, if the paper is of use to them) will go on to read the full paper.[ 1 , 2 ] One must remember to adhere to the instructions laid down by the “target journal” (the journal for which the author is writing) regarding the style and number of words permitted for the title and the abstract.[ 2 , 4 , 5 , 7 , 8 , 9 , 12 ] Both the title and the abstract are the most important parts of a research paper – for editors (to decide whether to process the paper for further review), for reviewers (to get an initial impression of the paper), and for the readers (as these may be the only parts of the paper available freely and hence, read widely).[ 4 , 8 , 12 ] It may be worth for the novice author to browse through titles and abstracts of several prominent journals (and their target journal as well) to learn more about the wording and styles of the titles and abstracts, as well as the aims and scope of the particular journal.[ 5 , 7 , 9 , 13 ]

The details of the title are discussed under the subheadings of importance, types, drafting, and checklist.

Importance of the title

When a reader browses through the table of contents of a journal issue (hard copy or on website), the title is the “ first detail” or “face” of the paper that is read.[ 2 , 3 , 4 , 5 , 6 , 13 ] Hence, it needs to be simple, direct, accurate, appropriate, specific, functional, interesting, attractive/appealing, concise/brief, precise/focused, unambiguous, memorable, captivating, informative (enough to encourage the reader to read further), unique, catchy, and it should not be misleading.[ 1 , 2 , 3 , 4 , 5 , 6 , 9 , 12 ] It should have “just enough details” to arouse the interest and curiosity of the reader so that the reader then goes ahead with studying the abstract and then (if still interested) the full paper.[ 1 , 2 , 4 , 13 ] Journal websites, electronic databases, and search engines use the words in the title and abstract (the “keywords”) to retrieve a particular paper during a search; hence, the importance of these words in accessing the paper by the readers has been emphasized.[ 3 , 4 , 5 , 6 , 12 , 14 ] Such important words (or keywords) should be arranged in appropriate order of importance as per the context of the paper and should be placed at the beginning of the title (rather than the later part of the title, as some search engines like Google may just display only the first six to seven words of the title).[ 3 , 5 , 12 ] Whimsical, amusing, or clever titles, though initially appealing, may be missed or misread by the busy reader and very short titles may miss the essential scientific words (the “keywords”) used by the indexing agencies to catch and categorize the paper.[ 1 , 3 , 4 , 9 ] Also, amusing or hilarious titles may be taken less seriously by the readers and may be cited less often.[ 4 , 15 ] An excessively long or complicated title may put off the readers.[ 3 , 9 ] It may be a good idea to draft the title after the main body of the text and the abstract are drafted.[ 2 , 3 , 4 , 5 ]

Types of titles

Titles can be descriptive, declarative, or interrogative. They can also be classified as nominal, compound, or full-sentence titles.

Descriptive or neutral title

This has the essential elements of the research theme, that is, the patients/subjects, design, interventions, comparisons/control, and outcome, but does not reveal the main result or the conclusion.[ 3 , 4 , 12 , 16 ] Such a title allows the reader to interpret the findings of the research paper in an impartial manner and with an open mind.[ 3 ] These titles also give complete information about the contents of the article, have several keywords (thus increasing the visibility of the article in search engines), and have increased chances of being read and (then) being cited as well.[ 4 ] Hence, such descriptive titles giving a glimpse of the paper are generally preferred.[ 4 , 16 ]

Declarative title

This title states the main finding of the study in the title itself; it reduces the curiosity of the reader, may point toward a bias on the part of the author, and hence is best avoided.[ 3 , 4 , 12 , 16 ]

Interrogative title

This is the one which has a query or the research question in the title.[ 3 , 4 , 16 ] Though a query in the title has the ability to sensationalize the topic, and has more downloads (but less citations), it can be distracting to the reader and is again best avoided for a research article (but can, at times, be used for a review article).[ 3 , 6 , 16 , 17 ]

From a sentence construct point of view, titles may be nominal (capturing only the main theme of the study), compound (with subtitles to provide additional relevant information such as context, design, location/country, temporal aspect, sample size, importance, and a provocative or a literary; for example, see the title of this review), or full-sentence titles (which are longer and indicate an added degree of certainty of the results).[ 4 , 6 , 9 , 16 ] Any of these constructs may be used depending on the type of article, the key message, and the author's preference or judgement.[ 4 ]

Drafting a suitable title

A stepwise process can be followed to draft the appropriate title. The author should describe the paper in about three sentences, avoiding the results and ensuring that these sentences contain important scientific words/keywords that describe the main contents and subject of the paper.[ 1 , 4 , 6 , 12 ] Then the author should join the sentences to form a single sentence, shorten the length (by removing redundant words or adjectives or phrases), and finally edit the title (thus drafted) to make it more accurate, concise (about 10–15 words), and precise.[ 1 , 3 , 4 , 5 , 9 ] Some journals require that the study design be included in the title, and this may be placed (using a colon) after the primary title.[ 2 , 3 , 4 , 14 ] The title should try to incorporate the Patients, Interventions, Comparisons and Outcome (PICO).[ 3 ] The place of the study may be included in the title (if absolutely necessary), that is, if the patient characteristics (such as study population, socioeconomic conditions, or cultural practices) are expected to vary as per the country (or the place of the study) and have a bearing on the possible outcomes.[ 3 , 6 ] Lengthy titles can be boring and appear unfocused, whereas very short titles may not be representative of the contents of the article; hence, optimum length is required to ensure that the title explains the main theme and content of the manuscript.[ 4 , 5 , 9 ] Abbreviations (except the standard or commonly interpreted ones such as HIV, AIDS, DNA, RNA, CDC, FDA, ECG, and EEG) or acronyms should be avoided in the title, as a reader not familiar with them may skip such an article and nonstandard abbreviations may create problems in indexing the article.[ 3 , 4 , 5 , 6 , 9 , 12 ] Also, too much of technical jargon or chemical formulas in the title may confuse the readers and the article may be skipped by them.[ 4 , 9 ] Numerical values of various parameters (stating study period or sample size) should also be avoided in the titles (unless deemed extremely essential).[ 4 ] It may be worthwhile to take an opinion from a impartial colleague before finalizing the title.[ 4 , 5 , 6 ] Thus, multiple factors (which are, at times, a bit conflicting or contrasting) need to be considered while formulating a title, and hence this should not be done in a hurry.[ 4 , 6 ] Many journals ask the authors to draft a “short title” or “running head” or “running title” for printing in the header or footer of the printed paper.[ 3 , 12 ] This is an abridged version of the main title of up to 40–50 characters, may have standard abbreviations, and helps the reader to navigate through the paper.[ 3 , 12 , 14 ]

Checklist for a good title

Table 1 gives a checklist/useful tips for drafting a good title for a research paper.[ 1 , 2 , 3 , 4 , 5 , 6 , 12 ] Table 2 presents some of the titles used by the author of this article in his earlier research papers, and the appropriateness of the titles has been commented upon. As an individual exercise, the reader may try to improvise upon the titles (further) after reading the corresponding abstract and full paper.

Checklist/useful tips for drafting a good title for a research paper

Some titles used by author of this article in his earlier publications and remark/comment on their appropriateness

The Abstract

The details of the abstract are discussed under the subheadings of importance, types, drafting, and checklist.

Importance of the abstract

The abstract is a summary or synopsis of the full research paper and also needs to have similar characteristics like the title. It needs to be simple, direct, specific, functional, clear, unbiased, honest, concise, precise, self-sufficient, complete, comprehensive, scholarly, balanced, and should not be misleading.[ 1 , 2 , 3 , 7 , 8 , 9 , 10 , 11 , 13 , 17 ] Writing an abstract is to extract and summarize (AB – absolutely, STR – straightforward, ACT – actual data presentation and interpretation).[ 17 ] The title and abstracts are the only sections of the research paper that are often freely available to the readers on the journal websites, search engines, and in many abstracting agencies/databases, whereas the full paper may attract a payment per view or a fee for downloading the pdf copy.[ 1 , 2 , 3 , 7 , 8 , 10 , 11 , 13 , 14 ] The abstract is an independent and stand-alone (that is, well understood without reading the full paper) section of the manuscript and is used by the editor to decide the fate of the article and to choose appropriate reviewers.[ 2 , 7 , 10 , 12 , 13 ] Even the reviewers are initially supplied only with the title and the abstract before they agree to review the full manuscript.[ 7 , 13 ] This is the second most commonly read part of the manuscript, and therefore it should reflect the contents of the main text of the paper accurately and thus act as a “real trailer” of the full article.[ 2 , 7 , 11 ] The readers will go through the full paper only if they find the abstract interesting and relevant to their practice; else they may skip the paper if the abstract is unimpressive.[ 7 , 8 , 9 , 10 , 13 ] The abstract needs to highlight the selling point of the manuscript and succeed in luring the reader to read the complete paper.[ 3 , 7 ] The title and the abstract should be constructed using keywords (key terms/important words) from all the sections of the main text.[ 12 ] Abstracts are also used for submitting research papers to a conference for consideration for presentation (as oral paper or poster).[ 9 , 13 , 17 ] Grammatical and typographic errors reflect poorly on the quality of the abstract, may indicate carelessness/casual attitude on part of the author, and hence should be avoided at all times.[ 9 ]

Types of abstracts

The abstracts can be structured or unstructured. They can also be classified as descriptive or informative abstracts.

Structured and unstructured abstracts

Structured abstracts are followed by most journals, are more informative, and include specific subheadings/subsections under which the abstract needs to be composed.[ 1 , 7 , 8 , 9 , 10 , 11 , 13 , 17 , 18 ] These subheadings usually include context/background, objectives, design, setting, participants, interventions, main outcome measures, results, and conclusions.[ 1 ] Some journals stick to the standard IMRAD format for the structure of the abstracts, and the subheadings would include Introduction/Background, Methods, Results, And (instead of Discussion) the Conclusion/s.[ 1 , 2 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 17 , 18 ] Structured abstracts are more elaborate, informative, easy to read, recall, and peer-review, and hence are preferred; however, they consume more space and can have same limitations as an unstructured abstract.[ 7 , 9 , 18 ] The structured abstracts are (possibly) better understood by the reviewers and readers. Anyway, the choice of the type of the abstract and the subheadings of a structured abstract depend on the particular journal style and is not left to the author's wish.[ 7 , 10 , 12 ] Separate subheadings may be necessary for reporting meta-analysis, educational research, quality improvement work, review, or case study.[ 1 ] Clinical trial abstracts need to include the essential items mentioned in the CONSORT (Consolidated Standards Of Reporting Trials) guidelines.[ 7 , 9 , 14 , 19 ] Similar guidelines exist for various other types of studies, including observational studies and for studies of diagnostic accuracy.[ 20 , 21 ] A useful resource for the above guidelines is available at www.equator-network.org (Enhancing the QUAlity and Transparency Of health Research). Unstructured (or non-structured) abstracts are free-flowing, do not have predefined subheadings, and are commonly used for papers that (usually) do not describe original research.[ 1 , 7 , 9 , 10 ]

The four-point structured abstract: This has the following elements which need to be properly balanced with regard to the content/matter under each subheading:[ 9 ]

Background and/or Objectives: This states why the work was undertaken and is usually written in just a couple of sentences.[ 3 , 7 , 8 , 9 , 10 , 12 , 13 ] The hypothesis/study question and the major objectives are also stated under this subheading.[ 3 , 7 , 8 , 9 , 10 , 12 , 13 ]

Methods: This subsection is the longest, states what was done, and gives essential details of the study design, setting, participants, blinding, sample size, sampling method, intervention/s, duration and follow-up, research instruments, main outcome measures, parameters evaluated, and how the outcomes were assessed or analyzed.[ 3 , 7 , 8 , 9 , 10 , 12 , 13 , 14 , 17 ]

Results/Observations/Findings: This subheading states what was found, is longer, is difficult to draft, and needs to mention important details including the number of study participants, results of analysis (of primary and secondary objectives), and include actual data (numbers, mean, median, standard deviation, “P” values, 95% confidence intervals, effect sizes, relative risks, odds ratio, etc.).[ 3 , 7 , 8 , 9 , 10 , 12 , 13 , 14 , 17 ]

Conclusions: The take-home message (the “so what” of the paper) and other significant/important findings should be stated here, considering the interpretation of the research question/hypothesis and results put together (without overinterpreting the findings) and may also include the author's views on the implications of the study.[ 3 , 7 , 8 , 9 , 10 , 12 , 13 , 14 , 17 ]

The eight-point structured abstract: This has the following eight subheadings – Objectives, Study Design, Study Setting, Participants/Patients, Methods/Intervention, Outcome Measures, Results, and Conclusions.[ 3 , 9 , 18 ] The instructions to authors given by the particular journal state whether they use the four- or eight-point abstract or variants thereof.[ 3 , 14 ]

Descriptive and Informative abstracts

Descriptive abstracts are short (75–150 words), only portray what the paper contains without providing any more details; the reader has to read the full paper to know about its contents and are rarely used for original research papers.[ 7 , 10 ] These are used for case reports, reviews, opinions, and so on.[ 7 , 10 ] Informative abstracts (which may be structured or unstructured as described above) give a complete detailed summary of the article contents and truly reflect the actual research done.[ 7 , 10 ]

Drafting a suitable abstract

It is important to religiously stick to the instructions to authors (format, word limit, font size/style, and subheadings) provided by the journal for which the abstract and the paper are being written.[ 7 , 8 , 9 , 10 , 13 ] Most journals allow 200–300 words for formulating the abstract and it is wise to restrict oneself to this word limit.[ 1 , 2 , 3 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 22 ] Though some authors prefer to draft the abstract initially, followed by the main text of the paper, it is recommended to draft the abstract in the end to maintain accuracy and conformity with the main text of the paper (thus maintaining an easy linkage/alignment with title, on one hand, and the introduction section of the main text, on the other hand).[ 2 , 7 , 9 , 10 , 11 ] The authors should check the subheadings (of the structured abstract) permitted by the target journal, use phrases rather than sentences to draft the content of the abstract, and avoid passive voice.[ 1 , 7 , 9 , 12 ] Next, the authors need to get rid of redundant words and edit the abstract (extensively) to the correct word count permitted (every word in the abstract “counts”!).[ 7 , 8 , 9 , 10 , 13 ] It is important to ensure that the key message, focus, and novelty of the paper are not compromised; the rationale of the study and the basis of the conclusions are clear; and that the abstract is consistent with the main text of the paper.[ 1 , 2 , 3 , 7 , 9 , 11 , 12 , 13 , 14 , 17 , 22 ] This is especially important while submitting a revision of the paper (modified after addressing the reviewer's comments), as the changes made in the main (revised) text of the paper need to be reflected in the (revised) abstract as well.[ 2 , 10 , 12 , 14 , 22 ] Abbreviations should be avoided in an abstract, unless they are conventionally accepted or standard; references, tables, or figures should not be cited in the abstract.[ 7 , 9 , 10 , 11 , 13 ] It may be worthwhile not to rush with the abstract and to get an opinion by an impartial colleague on the content of the abstract; and if possible, the full paper (an “informal” peer-review).[ 1 , 7 , 8 , 9 , 11 , 17 ] Appropriate “Keywords” (three to ten words or phrases) should follow the abstract and should be preferably chosen from the Medical Subject Headings (MeSH) list of the U.S. National Library of Medicine ( https://meshb.nlm.nih.gov/search ) and are used for indexing purposes.[ 2 , 3 , 11 , 12 ] These keywords need to be different from the words in the main title (the title words are automatically used for indexing the article) and can be variants of the terms/phrases used in the title, or words from the abstract and the main text.[ 3 , 12 ] The ICMJE (International Committee of Medical Journal Editors; http://www.icmje.org/ ) also recommends publishing the clinical trial registration number at the end of the abstract.[ 7 , 14 ]

Checklist for a good abstract

Table 3 gives a checklist/useful tips for formulating a good abstract for a research paper.[ 1 , 2 , 3 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 17 , 22 ]

Checklist/useful tips for formulating a good abstract for a research paper

Concluding Remarks

This review article has given a detailed account of the importance and types of titles and abstracts. It has also attempted to give useful hints for drafting an appropriate title and a complete abstract for a research paper. It is hoped that this review will help the authors in their career in medical writing.

Financial support and sponsorship

Conflicts of interest.

There are no conflicts of interest.

Acknowledgement

The author thanks Dr. Hemant Deshmukh - Dean, Seth G.S. Medical College & KEM Hospital, for granting permission to publish this manuscript.

IMAGES

  1. How to Write an Abstract for a Research Paper

    scientific research paper abstract

  2. 🌱 What is abstract paper. What Is An Abstract Of A Research Paper. 2022

    scientific research paper abstract

  3. How To Write An Effective Research Paper Abstract For College: 4 Types

    scientific research paper abstract

  4. What Is a Research Abstract? 3 Effective Examples

    scientific research paper abstract

  5. 😂 Step by step guide to writing a research paper. Step by step guide to

    scientific research paper abstract

  6. A good abstract for a research paper. How to make your Abstract more

    scientific research paper abstract

VIDEO

  1. How to Review a Research Paper

  2. HOW TO WRITE an ABSTRACT for HIGH-IMPACT JOURNALS

  3. FOR A KILLER ABSTRACT

  4. Day 2: Basics of Scientific Research Writing (Batch 18)

  5. FOR A KILLER ABSTRACT

  6. THE SECRET behind a great scientific abstract

COMMENTS

  1. How to Write an Abstract

    An abstract is a short summary of a longer work (such as a thesis, dissertation or research paper). The abstract concisely reports the aims and outcomes of your research, so that readers know exactly what your paper is about. Although the structure may vary slightly depending on your discipline, your abstract should describe the purpose of your ...

  2. Abstract Writing: A Step-by-Step Guide With Tips & Examples

    Abstracts of research papers have always played an essential role in describing your research concisely and clearly to researchers and editors of journals, enticing them to continue reading. However, with the widespread availability of scientific databases, the need to write a convincing abstract is more crucial now than during the time of ...

  3. How to write a good abstract for a scientific paper or conference

    Abstracts of scientific papers are sometimes poorly written, often lack important information, and occasionally convey a biased picture. This paper provides detailed suggestions, with examples, for writing the background, methods, results, and conclusions sections of a good abstract. The primary target of this paper is the young researcher ...

  4. How to Write an Abstract

    Focus on key results, conclusions and take home messages. Write your paper first, then create the abstract as a summary. Check the journal requirements before you write your abstract, eg. required subheadings. Include keywords or phrases to help readers search for your work in indexing databases like PubMed or Google Scholar.

  5. How to Write a Scientific Abstract for Your Research Article

    Writing good abstracts is not an art, but a learned skill. Developing such a skill takes practice. Here is an exercise to help you develop this skill. Pick a scientific article in your field. Read the paper with the abstract covered. Then try to write an abstract based on your reading. Compare your abstract to the author's.

  6. Writing an Abstract for Your Research Paper

    Definition and Purpose of Abstracts An abstract is a short summary of your (published or unpublished) research paper, usually about a paragraph (c. 6-7 sentences, 150-250 words) long. A well-written abstract serves multiple purposes: an abstract lets readers get the gist or essence of your paper or article quickly, in order to decide whether to….

  7. Research Guides: Writing a Scientific Paper: ABSTRACT

    The abstract should be written for the audience of this journal: do not assume too much or too little background with the topic. Ensure that all of the information found in the abstract also can be found in the body of the paper. Ensure that the important information of the paper is found in the abstract. Avoid: using the first paragraph of the ...

  8. 3. The Abstract

    An abstract summarizes, usually in one paragraph of 300 words or less, the major aspects of the entire paper in a prescribed sequence that includes: 1) the overall purpose of the study and the research problem(s) you investigated; 2) the basic design of the study; 3) major findings or trends found as a result of your analysis; and, 4) a brief summary of your interpretations and conclusions.

  9. Writing Center

    Delivered to your inbox every two weeks, the Writing Toolbox features practical advice and tools you can use to prepare a research manuscript for submission success and build your scientific writing skillset. Discover how to navigate the peer review and publishing process, beyond writing your article.

  10. The Writing Center

    ­­Abstracts in Scientific Research Papers (IMRaD) An effective abstract in an IMRaD* report provides the reader with a concise, informative summary of the entire paper. An IMRaD abstract should stand on its own; it is not a part of the introduction. The abstract should clearly preview the paper's content, allowing the reader to decide if ...

  11. Abstracts

    An abstract of a scientific research paper will contain elements not found in an abstract of a literature article, and vice versa. However, all abstracts share several mandatory components, and there are also some optional parts that you can decide to include or not. When preparing to draft your abstract, keep the following key process elements ...

  12. How to Write an Abstract for a Scientific Paper

    Abstract . An abstract is a concise summary of an experiment or research project. It should be brief -- typically under 200 words. The purpose of the abstract is to summarize the research paper by stating the purpose of the research, the experimental method, the findings, and the conclusions.

  13. How to Write a Comprehensive and Informative Research Abstract

    Considering that the abstract is often the most read component of a conference or journal paper, 2, 3 it is critical that the abstract demonstrates the importance of the research and its findings. In the context of a manuscript submitted for peer review in a scientific journal, the abstract is the elevator pitch that determines whether the ...

  14. How to Write a Scientific Abstract

    Scientific publications are an important source of information and knowledge in Academics, Research and development. When articles are submitted for publication, the 1st part that comes across and causes an impact on the minds of the readers is the abstract. It is a concise summary of the paper and must convey the right message.

  15. 15 Abstract Examples: A Comprehensive Guide

    This is a typical informative abstract for empirical social science research. After the background statement, the author discusses the problem statement or research question, followed by the results and the conclusions. ... While this descriptive abstract shows the reader what the paper addresses, the methods and results are omitted. A ...

  16. How to write an honest but effective abstract for scientific papers

    Anatomy of an effective abstract. In addition to being clear and brief (preferably less than 250 words), a good abstract has four critical components; (i) a brief background that presence the problem the research paper is addressing, the state of science, and the purpose of study, (ii) a brief experimental procedure that shows the exactly reader what the authors did to address the problem ...

  17. The Principles of Biomedical Scientific Writing: Abstract and Keywords

    In scientific communications, an abstract is a tool used in a variety of contexts; it is an integral part of a published paper, book, funding proposal, thesis, research report, or a conference paper . In a scientific paper, the abstract is an accurate summary of the main aspects of the entire manuscript, usually in one paragraph of 150 - 300 ...

  18. Writing an Effective Abstract for a Scientific Paper

    Weil (1970), an abstract is an abbreviated, accurate representation of a document. Abstracts of scientific. papers are occasionally poorly written, lack important information, and present a skewed ...

  19. How to Write an Abstract For a Scientific Research Paper

    Here's how you write an abstract for a research paper: 1. PROVIDE CONTEXT TO YOUR RESEARCH TOPIC. The first one or two sentences create the setting and provide an introduction to the topic of your study. As a rule of thumb, every reader of the journal should understand this first part of your scientific abstract.

  20. 3.2 Components of a scientific paper

    3.2.1 Abstract. The abstract is a short summary (150-200 words or less) of the important points of the paper. It does not generally include background information. There may be a very brief statement of the rationale for conducting the study. It describes what was done, but without details.

  21. Extracting problem and method sentence from scientific papers: a

    Billions of scientific papers lead to the need to identify essential parts from the massive text. Scientific research is an activity from putting forward problems to using methods. To learn the main idea from scientific papers, we focus on extracting problem and method sentences. Annotating sentences within scientific papers is labor-intensive, resulting in small-scale datasets that limit the ...

  22. How to Write a Scientific Abstract for Your Research Article

    Writing good abstracts is not an art, but a learned skill. Developing such a skill takes practice. Here is an exercise to help you develop this skill. Pick a scientific article in your field. Read the paper with the abstract covered. Then try to write an abstract based on your reading. Compare your abstract to the author's.

  23. Plants

    A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications. Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the ...

  24. A Guide to Writing a Scientific Paper: A Focus on High School Through

    Scientific papers based on experimentation typically include five predominant sections: Abstract, Introduction, Methods, Results, and Discussion.This structure is a widely accepted approach to writing a research paper, and has specific sections that parallel the scientific method.

  25. Financial Statement Analysis with Large Language Models

    Abstract. We investigate whether an LLM can successfully perform financial statement analysis in a way similar to a professional human analyst. We provide standardized and anonymous financial statements to GPT4 and instruct the model to analyze them to determine the direction of future earnings.

  26. 2023 summer warmth unparalleled over the past 2,000 years

    Global Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic. Jan Esper & Ulf Büntgen. Department of Geography, University of Cambridge, Cambridge, United Kingdom. Ulf ...

  27. Crows "count" the number of self-generated vocalizations

    All crows successfully produced the target number of vocalizations (Fig. 1, C and D).Performance for each cue modality (visual/auditory), and to each number (1 to 4) across sessions was significantly above chance (14.29%, two-sided binomial tests, all P < 0.0001). The crows exhibited performance effects characteristic for nonsymbolic number estimation ().

  28. Writing the title and abstract for a research paper: Being concise

    The title and abstracts are the only sections of the research paper that are often freely available to the readers on the journal websites, search engines, and in many abstracting agencies/databases, whereas the full paper may attract a payment per view or a fee for downloading the pdf copy.[1,2,3,7,8,10,11,13,14] The abstract is an independent ...

  29. Scientific discourse on YouTube: Motivations for citing research in

    YouTube is a valuable source of user-generated content on a wide range of topics, and it encourages user participation through the use of a comment system. Video content is increasingly addressing scientific topics, and there is evidence that both academics and consumers use video descriptions and video comments to refer to academic research and scientific publications. Because commenting is a ...