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Gender gap in medical research: a bibliometric study in Swiss university hospitals

Author

Listed:
  • Paul Sebo

    (University of Geneva)

  • Sylvain de Lucia

    (Geneva University Hospital)

  • Nathalie Vernaz

    (Geneva University Hospital)

Abstract

Several studies explored gender inequalities in research, but only limited data are available concerning general internal medicine and family medicine. We aimed to assess the level of gender inequalities in Swiss academic medical research. In this bibliometric study conducted in March 2020, we selected all senior hospital physicians practicing internal medicine or family medicine in the six Swiss university hospitals. The list of these physicians was extracted from the hospitals’ websites. We recorded their socio-demographic characteristics. Then, using Web of Science, we retrieved the number of publications (overall, as first author, per year, per year as first author), the proportion of publications as first author, the number of citations (overall, per year, per publication) and the h-index, and we compared the data by gender. 367 senior physicians were included in the study [female physicians: 172 (47%), internal medicine: 187 (51%)]. Female physicians were four times less likely to be a professor (5% vs. 20%, p value

Suggested Citation

  • Paul Sebo & Sylvain de Lucia & Nathalie Vernaz, 2021. "Gender gap in medical research: a bibliometric study in Swiss university hospitals," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 741-755, January.
    • Handle: RePEc:spr:scient:v:126:y:2021:i:1:d:10.1007_s11192-020-03741-w
    DOI: 10.1007/s11192-020-03741-w
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    References listed on IDEAS

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    1. Vincent Larivière & Chaoqun Ni & Yves Gingras & Blaise Cronin & Cassidy R. Sugimoto, 2013. "Bibliometrics: Global gender disparities in science," Nature, Nature, vol. 504(7479), pages 211-213, December.
    2. Luke Holman & Devi Stuart-Fox & Cindy E Hauser, 2018. "The gender gap in science: How long until women are equally represented?," PLOS Biology, Public Library of Science, vol. 16(4), pages 1-20, April.
    3. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
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    Cited by:

    1. Manuel Goyanes & Luis de-Marcos & Adrián Domínguez-Díaz, 2024. "Automatic gender detection: a methodological procedure and recommendations to computationally infer the gender from names with ChatGPT and gender APIs," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 6867-6888, November.
    2. Paul Sebo & Sylvain de Lucia, 2021. "Evaluation of the productivity of hospital-based researchers: comparative study between the h-index and the h(fa)-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7087-7096, August.
    3. Zumrad Kataeva & Naureen Durrani & Zhanna Izekenova & Aray Rakhimzhanova, 2023. "Evolution of gender research in the social sciences in post-Soviet countries: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1639-1666, March.
    4. Hamid R. Jamali & Alireza Abbasi, 2023. "Gender gaps in Australian research publishing, citation and co-authorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2879-2893, May.

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