Skip to main content
Log in

Scientific Contribution List Categories Investigation: a comparison between three mainstream medical journals

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

How can we represent scientific contributions in articles through categories? The scientific contributions’ identification in articles is relevant with regard to issues such as authorship credit, transparency, and responsibility. The major medical journals have adopted the recommendations of the International Committee of Medical Journal Editors (ICMJE) to indicate the contributions in publications. However, the nomenclature of these contributions is different for each one, making it difficult to identify them when compared between journals. We analyze contributions list from 2024 articles with 20,098 authors, published in three mainstream medical journals: Annals of Internal Medicine, Journal of the American Medical Association, and PLoS Medicine. This study presents two main findings. First, a system grouping scientific contributions with seven categories divided into two groups: (1) Theory; and (2) Methodology and Logistics. Theory is composed of the following contributions: Study Concept, Study Supervision, Critical Revision and Funding and/or Support. While Methodology and Logistics have: Original Draft, Statistical Analysis, and Data Collection. Second, the major contributions are related to the categories related to the theoretical (Theory) argument of the articles, showing that these authors are the most experienced. Already Methodology and Logistics are essential to the application of theoretical concepts and support, representing substantial contributions. Thus, the grouping of the proposed categories can help authors to identify and indicate their contributions in articles more clearly, balancing the ethical issues related to the attribution of authorship to researchers. We also present a equivalence table to contribution categories between the three journals analyzed in this study.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Data availability

Data are available at GitHub URI: https://github.com/EdsonMSouza/contributions_categories/tree/main/data.

Code availability

Code are available at Github URI: https://github.com/EdsonMSouza/contributions_categories/tree/main/software.

Notes

  1. Available at: http://credit.niso.org/.

  2. https://github.com/EdsonMSouza/contributions_categories.

  3. https://github.com/EdsonMSouza/contributions_categories.

  4. https://github.com/EdsonMSouza/contributions_categories.

References

  • Abramo, G., & D’Angelo, C. A. (2014). How do you define and measure research productivity? Scientometrics, 101(2), 1129–1144.

    Article  Google Scholar 

  • Abramo, G., D’Angelo, C. A., & Murgia, G. (2016). The combined effects of age and seniority on research performance of full professors. Science and Public Policy, 43(3), 301–319.

    Article  Google Scholar 

  • Abramo, G., D’Angelo, C. A., & Rosati, F. (2013). Measuring institutional research productivity for the life sciences: The importance of accounting for the order of authors in the byline. Scientometrics, 97(3), 779–795.

    Article  Google Scholar 

  • Amancio, D. R., Oliveira, O. N., & da Costa, F.L. (2012). On the use of topological features and hierarchical characterization for disambiguating names in collaborative networks. Europhysics Letters, 99(4), 48002. https://doi.org/10.1209/0295-5075/99/48002.

    Article  Google Scholar 

  • Amancio, D. R., Oliveira, O. N., Jr., & da Costa, F. L. (2015). Topological-collaborative approach for disambiguating authors’ names in collaborative networks. Scientometrics, 102(1), 465–485. https://doi.org/10.1007/s11192-014-1381-9.

    Article  Google Scholar 

  • Bajpai, J., & Metkewar, P. S. (2016). Data quality issues and current approaches to data cleaning process in data warehousing. GRD Journals: Global Research and Development Journal for Engineering, 1(10), 14–18.

    Google Scholar 

  • Bartholomew, D. J., Steele, F., Moustaki, I., & Galbraith, J. I. (2008). Analysis of multivariate social science data. Taylor and Francis Group, LLC.

  • Bates, T., Anić, A., Marušić, M., & Marušić, A. (2004). Authorship criteria and disclosure of contributions. JAMA, 292(1), 86–88.

    Article  Google Scholar 

  • Byrne, C., Farnham, B., Tokyo, S., Boston, B., Sebastopol, F., & Beijing, T. (2017). Development workflows for data scientists. O’Reilly.

  • Chang, Y.-W. (2019). Definition of authorship in social science journals. Scientometrics, 118(2), 563–585.

    Article  Google Scholar 

  • Corrêa, E. A., Silva, F. N., da Costa, F. L., & Amancio, D. R. (2017). Patterns of authors contribution in scientific manuscripts. Journal of Informetrics, 11(2), 498–510.

    Article  Google Scholar 

  • Costas, R., & Bordons, M. (2011). Do age and professional rank influence the order of authorship in scientific publications? Some evidence from a micro-level perspective. Scientometrics, 88(1), 145–161.

    Article  Google Scholar 

  • Decullier, E., & Maisonneuve, H. (2019). Have ignorance and abuse of authorship criteria decreased over the past 15 years? Journal of Medical Ethics, 46(4), 255–258.

    Article  Google Scholar 

  • DeVellis, R. F. (2017). Scale development: Theory and applications (4th ed.). University of North Carolina.

    Google Scholar 

  • D’Uggento, A. M., Ricci, V., & Toma, E. (2016). An indicator proposal to evaluate research activities based on SCImago institutions ranking (SIR) data: An application for Italian high education institutions. Electronic Journal of Applied Statistical Analysis, 9(4), 655–674.

    Google Scholar 

  • Ekolu, S. O., & Quainoo, H. (2019). Reliability of assessments in engineering education using Cronbach’s alpha, KR and split-half methods. Global Journal of Engineering Education, 21(1), 24–29.

    Google Scholar 

  • Hagen, N. T. (2014). Reversing the byline hierarchy: The effect of equalizing bias on the accreditation of primary, secondary and senior authors. Journal of Informetrics, 8(3), 618–627.

    Article  Google Scholar 

  • Hilário, C. M., Martínez-Ávila, D., Grácio, M. C. C., & Wolfram, D. (2018). Authorship in science: A critical analysis from a Foucauldian perspective. Research Evaluation, 27(2), 63–72.

    Article  Google Scholar 

  • Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30(2), 179–185.

    Article  MATH  Google Scholar 

  • Hutcheson, G., & Sofroniou, N. (1999). The multivariate social scientist: Introductory statistics using generalized linear models, Statistics Series. SAGE Publications. https://books.google.com.br/books?id=NiF4--8lvf0C.

  • ICMJE. (2020). International Committee of Medical Journal Editors. http://www.icmje.org/recommendations/.

  • Igou, E. R., & van Tilburg, W. A. (2015). Ahead of others in the authorship order: Names with middle initials appear earlier in author lists of academic articles in psychology. Frontiers in Psychology, 6(March), 1–9.

    Google Scholar 

  • Jian, D., & Xiaoli, T. (2013). Perceptions of author order versus contribution among researchers with different professional ranks and the potential of harmonic counts for encouraging ethical co-authorship practices. Scientometrics, 96(1), 277–295.

    Article  Google Scholar 

  • Jones, J. W., McCullough, L. B., & Richman, B. W. (2005). The ethics of bylines: Would the real authors please stand up? Journal of Vascular Surgery, 42(4), 816–818.

    Article  Google Scholar 

  • Kim, J., Kim, J., & Owen-Smith, J. (2019). Generating automatically labeled data for author name disambiguation: An iterative clustering method. Scientometrics, 118(1), 253–280. https://doi.org/10.1007/s11192-018-2968-3.

    Article  Google Scholar 

  • Kozma, E., Burling, M., von Coburg, Y., & Heinen, K. (2014). Authorship: How to decide the order of authors on the byline? Current Medical Research and Opinion, 30, S21–S21.

    Google Scholar 

  • Kumar, S. (2018). Ethical concerns in the rise of co-authorship and its role as a proxy of research collaborations. Publications, 6(3), 37.

    Article  Google Scholar 

  • Lake, D. A., & Diego, S. (2010). Who’s on first? Listing authors by relative contribution trumps the alphabet. Political Science and Politics, 43(1), 43–47.

    Article  Google Scholar 

  • Larivière, V., Desrochers, N., Macaluso, B., Mongeon, P., Paul-Hus, A., & Sugimoto, C. R. (2016). Contributorship and division of labor in knowledge production. Social Studies of Science, 46(3), 417–435. https://doi.org/10.1177/0306312716650046.

    Article  Google Scholar 

  • Larivière, V., Pontille, D., & Sugimoto, C. R. (2021). Investigating the division of scientific labor using the contributor roles taxonomy (CRediT). Quantitative Science Studies, 2(1), 111–128. https://doi.org/10.1162/qss_a_00097.

    Article  Google Scholar 

  • Li, Z., Sun, Y. M., Wu, F. X., Yang, L. Q., Lu, Z. J., & Yu, W. F. (2013). Equal contributions and credit: An emerging trend in the characterization of authorship in major anaesthesia journals during a 10-yr period. PLoS ONE. https://doi.org/10.1371/journal.pone.0071430.

    Article  Google Scholar 

  • Lim, S., & Jahng, S. (2019). Determining the number of factors using parallel analysis and its recent variants. Psychological Methods, 24(4), 452–467.

    Article  Google Scholar 

  • Liu, X. Z., & Fang, H. (2012). Modifying h-index by allocating credit of multi-authored papers whose author names rank based on contribution. Journal of Informetrics, 6(4), 557–565.

    Article  Google Scholar 

  • Liu, X. Z., & Fang, H. (2014). The impact of publications from Mainland China on the trends in alphabetical authorship. Scientometrics, 99(3), 865–879.

    Article  Google Scholar 

  • Lozano, G. A. (2014). Ethics of using language editing services in an era of digital communication and heavily multi-authored papers. Science and Engineering Ethics, 20(2), 363–377.

    Article  Google Scholar 

  • Mañana-Rodríguez, J. (2015). A critical review of SCImago Journal and Country Rank. Research Evaluation, 24(4), 343–354.

    Article  Google Scholar 

  • Matos, D. A. S., & Rodrigues, E. C. (2019). Análise fatorial, ENAP Escola Nacional de Administração Pública.

  • Mattsson, P., Sundberg, C. J., & Laget, P. (2011). Is correspondence reflected in the author position? A bibliometric study of the relation between corresponding author and byline position. Scientometrics, 87(1), 99–105.

    Article  Google Scholar 

  • McNutt, M. K., Bradford, M., Drazen, J. M., Hanson, B., Howard, B., Jamieson, K. H., et al. (2018). Transparency in authors’ contributions and responsibilities to promote integrity in scientific publication. Proceedings of the National Academy of Sciences of USA, 115(11), 2557–2560.

    Article  Google Scholar 

  • Mead, A. (1992). Review of the development of multidimensional scaling methods. Journal of the Royal Statistical Society: Series D (The Statistician), 41(1), 27–39.

    MathSciNet  Google Scholar 

  • Mongeon, P., Smith, E., Joyal, B., & Larivière, V. (2017). The rise of the middle author: Investigating collaboration and division of labor in biomedical research using partial alphabetical authorship. PLoS ONE, 12(9), 1–14.

    Article  Google Scholar 

  • Patience, G. S., Galli, F., Patience, P. A., & Boffito, D. C. (2019). Intellectual contributions meriting authorship: Survey results from the top cited authors across all science categories. PLoS ONE, 14(1), 1–20.

    Article  Google Scholar 

  • Perneger, T. V., Poncet, A., Carpentier, M., Agoritsas, T., Combescure, C., & Gayet-Ageron, A. (2017). Thinker, Soldier, Scribe: Cross-sectional study of researchers’ roles and author order in the Annals of Internal Medicine. BMJ Open. https://doi.org/10.1136/bmjopen-2016-013898.

    Article  Google Scholar 

  • Rahman, M. T., Regenstein, J. M., Abu Kassim, N. L., & Haque, N. (2017). The need to quantify authors’ relative intellectual contributions in a multi-author paper. Journal of Informetrics, 11(1), 275–281.

    Article  Google Scholar 

  • Rasmussen, K., Bero, L., Redberg, R., Gøtzsche, P. C., & Lundh, A. (2018). Collaboration between academics and industry in clinical trials: Cross sectional study of publications and survey of lead academic authors. BMJ (Online). https://doi.org/10.1136/bmj.k3654.

    Article  Google Scholar 

  • Rosenzweig, J. S., Van Deusen, S. K., Okpara, O., Datillo, P. A., Briggs, W. M., & Birkhahn, R. H. (2008). Authorship, collaboration, and predictors of extramural funding in the emergency medicine literature. The American Journal of Emergency Medicine, 26(1), 5–9.

    Article  Google Scholar 

  • Russell, A. F., Loder, R. T., Gudeman, A. S., Bolaji, P., Virtanen, P., Whipple, E. C., & Kacena, M. A. (2019). A bibliometric study of authorship and collaboration trends over the past 30 years in four major musculoskeletal science journals. Calcified Tissue International, 104(3), 239–250.

    Article  Google Scholar 

  • Sauermann, H., & Haeussler, C. (2017). Authorship and contribution disclosures. Science Advances, 3(11), 1–13.

    Article  Google Scholar 

  • Schreiber, J. B. (2021). Issues and recommendations for exploratory factor analysis and principal component analysis. Research in Social and Administrative Pharmacy, 17(5), 1004–1011.

    Article  Google Scholar 

  • SCImago. (2020). SCImago Journal and Country Rank. http://www.scimagojr.com.

  • Tscharntke, T., Hochberg, M. E., Rand, T. A., Resh, V. H., & Krauss, J. (2007). Author sequence and credit for contributions in multiauthored publications. PLoS Biology, 5(1), 0013–0014.

    Article  Google Scholar 

  • VanderPlas, J. (2016). Python data science handbook: Essential tools for working with data. O’Reilly Media, Inc.

  • Walters, G. D. (2016). Adding authorship order to the quantity and quality dimensions of scholarly productivity: Evidence from group- and individual-level analyses. Scientometrics, 106(2), 769–785.

    Article  Google Scholar 

  • Watson, J. C. (2017). Establishing evidence for internal structure using exploratory factor analysis. Measurement and Evaluation in Counseling and Development, 50(4), 232–238.

    Article  Google Scholar 

  • Weeks, W. B., Wallace, A. E., & Kimberly, B. C. (2004). Changes in authorship patterns in prestigious US medical journals. Social Science and Medicine, 59(9), 1949–1954.

    Article  Google Scholar 

  • Wislar, J. S., Flanagin, A., Fontanarosa, P. B., & DeAngelis, C. D. (2011). Honorary and ghost authorship in high impact biomedical journals: A cross sectional survey. BMJ, 343(1), d6128. https://doi.org/10.1136/bmj.d6128.

    Article  Google Scholar 

  • Yang, S., Wolfram, D., & Wang, F. (2017). The relationship between the author byline and contribution lists: A comparison of three general medical journals. Scientometrics, 110(3), 1273–1296.

    Article  Google Scholar 

  • Yank, V., & Rennie, D. (1999). Disclosure of researcher contributions: A study of original research articles in the Lancet. Annals of Internal Medicine, 130(8), 661–670. https://doi.org/10.7326/0003-4819-130-8-199904200-00013.

    Article  Google Scholar 

  • Zbar, A., & Frank, E. (2011). Significance of authorship position: An open-ended international assessment. American Journal of Medical Sciences, 341(2), 106–109.

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank to Programa de Pós-graduação em Informática e Gestão do Conhecimento (PPGI) of Nove de Julho Universisty for academic support and Gobber, Charles F. by technical support and adjustments LaTeX tips in addition to comments about this paper.

Funding

Not applicable.

Author information

Authors and Affiliations

Authors

Contributions

WALA, JS, and EMS: Conceptualization; EMS, JS, WALA: Methodology; EMS, JS, WALA: Formal analysis and investigation; EMS, JS, WALA: Writing-original draft preparation; EMS, JS, WALA: Writing-review and editing; Funding acquisition: Not applicable; EMS: Resources; WALA and JS: Supervision.

Corresponding author

Correspondence to Edson Melo de Souza.

Ethics declarations

Conflict of interest

Not applicable.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

de Souza, E.M., Storopoli, J.E. & Alves, W.A.L. Scientific Contribution List Categories Investigation: a comparison between three mainstream medical journals. Scientometrics 127, 2249–2276 (2022). https://doi.org/10.1007/s11192-022-04315-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-022-04315-8

Keywords

Navigation