skip to main content
10.1145/3487553.3524655acmconferencesArticle/Chapter ViewAbstractPublication PageswwwConference Proceedingsconference-collections
short-paper

Quantifying the Topic Disparity of Scientific Articles

Authors Info & Claims
Published:16 August 2022Publication History

ABSTRACT

Citation count is a popular index for assessing scientific papers. However, it depends on not only the quality of a paper but also various factors, such as conventionality, journal, team size, career age, and gender. Here, we examine the extent to which the conventionality of a paper is related to its citation count by using our measure, topic disparity. The topic disparity is the cosine distance between a paper and its discipline on a neural embedding space. Using this measure, we show that the topic disparity is negatively associated with citation count, even after controlling journal impact, team size, and the career age and gender of the first and last authors. This result indicates that less conventional research tends to receive fewer citations than conventional research. The topic disparity can be used to complement citation count and to recommend papers at the periphery of a discipline because of their less conventional topics.

References

  1. Nicolas Bérubé, Gita Ghiasi, Maxime Sainte-Marie, and Vincent Larivière. 2020. Wiki-Gendersort: Automatic gender detection using first names in Wikipedia.Google ScholarGoogle Scholar
  2. Katy Börner, Richard Klavans, Michael Patek, Angela M Zoss, Joseph R Biberstine, Robert P Light, Vincent Larivière, and Kevin W Boyack. 2012. Design and update of a classification system: The UCSD map of science. PLoS One 7, 7 (2012), e39464.Google ScholarGoogle ScholarCross RefCross Ref
  3. Lutz Bornmann and Hans-Dieter Daniel. 2008. What do citation counts measure? A review of studies on citing behavior. Journal of Documentation 64 (2008), 45–80.Google ScholarGoogle ScholarCross RefCross Ref
  4. Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, and Daniel S Weld. 2020. Specter: Document-level representation learning using citation-informed transformers.Google ScholarGoogle Scholar
  5. Jonathan R Cole. 2000. A short history of the use of citations as a measure of the impact of scientific and scholarly work., 281–300 pages.Google ScholarGoogle Scholar
  6. Fereshteh Didegah and Mike Thelwall. 2013. Determinants of research citation impact in nanoscience and nanotechnology. Journal of the American Society for Information Science and Technology 64, 5 (2013), 1055–1064.Google ScholarGoogle ScholarCross RefCross Ref
  7. Ying Ding and Blaise Cronin. 2011. Popular and/or prestigious? Measures of scholarly esteem. Information Processing & Management 47, 1 (2011), 80–96.Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Jordan D Dworkin, Kristin A Linn, Erin G Teich, Perry Zurn, Russell T Shinohara, and Danielle S Bassett. 2020. The extent and drivers of gender imbalance in neuroscience reference lists. Nature Neuroscience 23, 8 (2020), 918–926.Google ScholarGoogle ScholarCross RefCross Ref
  9. Alan Fersht. 2009. The most influential journals: Impact Factor and Eigenfactor., 6883–6884 pages.Google ScholarGoogle Scholar
  10. Jacqueline M Fulvio, Ileri Akinnola, and Bradley R Postle. 2021. Gender (im) balance in citation practices in cognitive neuroscience. Journal of Cognitive Neuroscience 33, 1 (2021), 3–7.Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Jean King. 1987. A review of bibliometric and other science indicators and their role in research evaluation. Journal of Information Science 13, 5 (1987), 261–276.Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Vincent Larivière, Yves Gingras, Cassidy R Sugimoto, and Andrew Tsou. 2015. Team size matters: Collaboration and scientific impact since 1900. Journal of the Association for Information Science and Technology 66, 7(2015), 1323–1332.Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Roosa Leimu and Julia Koricheva. 2005. What determines the citation frequency of ecological papers?Trends in Ecology & Evolution 20, 1 (2005), 28–32.Google ScholarGoogle Scholar
  14. Leland McInnes, John Healy, and James Melville. 2018. UMAP: Uniform manifold approximation and projection for dimension reduction.Google ScholarGoogle Scholar
  15. Henk F Moed. 2006. Citation analysis in research evaluation.Google ScholarGoogle Scholar
  16. Henk F Moed, WJM Burger, JG Frankfort, and Anthony FJ Van Raan. 1985. The use of bibliometric data for the measurement of university research performance. Research Policy 14, 3 (1985), 131–149.Google ScholarGoogle ScholarCross RefCross Ref
  17. Jaimie Murdock, Colin Allen, Katy Börner, Robert Light, Simon McAlister, Andrew Ravenscroft, Robert Rose, Doori Rose, Jun Otsuka, David Bourget, 2017. Multi-level computational methods for interdisciplinary research in the HathiTrust Digital Library. PLoS One 12, 9 (2017), e0184188.Google ScholarGoogle ScholarCross RefCross Ref
  18. Ismael Rafols and Martin Meyer. 2010. Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience. Scientometrics 82, 2 (2010), 263–287.Google ScholarGoogle ScholarCross RefCross Ref
  19. Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MAS) and Applications., 243-246 pages. https://doi.org/10.1145/2740908.2742839Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Jacob B Slyder, Beth R Stein, Brent S Sams, David M Walker, B Jacob Beale, Jeffrey J Feldhaus, and Carolyn A Copenheaver. 2011. Citation pattern and lifespan: a comparison of discipline, institution, and individual. Scientometrics 89, 3 (2011), 955–966.Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Iman Tahamtan, Askar Safipour Afshar, and Khadijeh Ahamdzadeh. 2016. Factors affecting number of citations: a comprehensive review of the literature. Scientometrics 107, 3 (2016), 1195–1225.Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Erin G Teich, Jason Z Kim, Christopher W Lynn, Samantha C Simon, Andrei A Klishin, Karol P Szymula, Pragya Srivastava, Lee C Bassett, Perry Zurn, Jordan D Dworkin, 2021. Citation inequity and gendered citation practices in contemporary physics.Google ScholarGoogle Scholar
  23. Brian Uzzi, Satyam Mukherjee, Michael Stringer, and Ben Jones. 2013. Atypical combinations and scientific impact. Science 342, 6157 (2013), 468–472.Google ScholarGoogle Scholar
  24. Hendrik Van Dalen and Kène Henkens. 2001. What makes a scientific article influential? The case of demographers. Scientometrics 50, 3 (2001), 455–482.Google ScholarGoogle ScholarCross RefCross Ref
  25. Jian Wang, Reinhilde Veugelers, and Paula Stephan. 2017. Bias against novelty in science: A cautionary tale for users of bibliometric indicators. Research Policy 46, 8 (2017), 1416–1436.Google ScholarGoogle ScholarCross RefCross Ref
  26. Lingfei Wu, Dashun Wang, and James A Evans. 2019. Large teams develop and small teams disrupt science and technology. Nature 566, 7744 (2019), 378–382.Google ScholarGoogle Scholar
  27. Stefan Wuchty, Benjamin F Jones, and Brian Uzzi. 2007. The increasing dominance of teams in production of knowledge. Science 316, 5827 (2007), 1036–1039.Google ScholarGoogle Scholar

Index Terms

  1. Quantifying the Topic Disparity of Scientific Articles

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        WWW '22: Companion Proceedings of the Web Conference 2022
        April 2022
        1338 pages
        ISBN:9781450391306
        DOI:10.1145/3487553

        Copyright © 2022 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 16 August 2022

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • short-paper
        • Research
        • Refereed limited

        Acceptance Rates

        Overall Acceptance Rate1,899of8,196submissions,23%

        Upcoming Conference

        WWW '24
        The ACM Web Conference 2024
        May 13 - 17, 2024
        Singapore , Singapore

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      HTML Format

      View this article in HTML Format .

      View HTML Format