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Researchers collaborate with same-gendered colleagues more often than expected across the life sciences

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  • Luke Holman
  • Claire Morandin

Abstract

Evidence suggests that women in academia are hindered by conscious and unconscious biases, and often feel excluded from formal and informal opportunities for research collaboration. In addition to ensuring fairness and helping to redress gender imbalance in the academic workforce, increasing women’s access to collaboration could help scientific progress by drawing on more of the available human capital. Here, we test whether researchers tend to collaborate with same-gendered colleagues, using more stringent methods and a larger dataset than in past work. Our results reaffirm that researchers co-publish with colleagues of the same gender more often than expected by chance, and show that this ‘gender homophily’ is slightly stronger today than it was 10 years ago. Contrary to our expectations, we found no evidence that homophily is driven mostly by senior academics, and no evidence that homophily is stronger in fields where women are in the minority. Interestingly, journals with a high impact factor for their discipline tended to have comparatively low homophily, as predicted if mixed-gender teams produce better research. We discuss some potential causes of gender homophily in science.

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  • Luke Holman & Claire Morandin, 2019. "Researchers collaborate with same-gendered colleagues more often than expected across the life sciences," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-19, April.
  • Handle: RePEc:plo:pone00:0216128
    DOI: 10.1371/journal.pone.0216128
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    Cited by:

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    3. Elena Chechik, 2024. "Gender disparities in research fields in Russia: dissertation authors and their mentors," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3341-3358, June.
    4. Marek Kwiek & Wojciech Roszka, 2021. "Gender Disparities In International Research Collaboration: A Study Of 25,000 University Professors," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1344-1380, December.
    5. Stefano Mammola & Elena Piano & Alberto Doretto & Enrico Caprio & Dan Chamberlain, 2022. "Measuring the influence of non-scientific features on citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 4123-4137, July.
    6. Anahita Hajibabaei & Andrea Schiffauerova & Ashkan Ebadi, 2023. "Women and key positions in scientific collaboration networks: analyzing central scientists’ profiles in the artificial intelligence ecosystem through a gender lens," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1219-1240, February.
    7. Liu, Meijun & Zhang, Ning & Hu, Xiao & Jaiswal, Ajay & Xu, Jian & Chen, Hong & Ding, Ying & Bu, Yi, 2022. "Further divided gender gaps in research productivity and collaboration during the COVID-19 pandemic: Evidence from coronavirus-related literature," Journal of Informetrics, Elsevier, vol. 16(2).
    8. Zhou, Sifan & Chai, Sen & Freeman, Richard B., 2024. "Gender homophily: In-group citation preferences and the gender disadvantage," Research Policy, Elsevier, vol. 53(1).
    9. Jacqueline Brown & Dakota Murray & Kyle Furlong & Emily Coco & Fabian Dablander, 2021. "A breeding pool of ideas: Analyzing interdisciplinary collaborations at the Complex Systems Summer School," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-16, February.
    10. Torsten Skov, 2020. "Unconscious Gender Bias in Academia: Scarcity of Empirical Evidence," Societies, MDPI, vol. 10(2), pages 1-13, March.
    11. Shen, Hongquan & Xie, Juan & Ao, Weiyi & Cheng, Ying, 2022. "The continuity and citation impact of scientific collaboration with different gender composition," Journal of Informetrics, Elsevier, vol. 16(1).
    12. Marek Kwiek & Wojciech Roszka, 2022. "Are female scientists less inclined to publish alone? The gender solo research gap," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1697-1735, April.

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