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Mid-career field switches reduce gender disparities in academic publishing

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  • Mike Thelwall

    (University of Wolverhampton)

Abstract

The continuing low proportions of women in most STEM fields in many countries is an ongoing concern, with no agreement about the fundamental causes or effective remedial actions. One previous study has found that professional women are more likely to switch from a (not necessarily academic) STEM career than professional women in comparable non-STEM jobs, reducing the overall numbers of STEM women. This study investigates whether the same is true for long term academics, and hence could partly account for current gender disparities. Based on the Scopus subject categories of the first and last five publications 2001–2018 of people in 31 countries with publishing careers starting after 2000, female researchers switching fields mid-career tend to move to fields with fewer women, relative to men switching fields mid-career. Thus, mid-career field changes within academia do not help to explain continuing gender disparities in publishing and other explanations must be sought.

Suggested Citation

  • Mike Thelwall, 2020. "Mid-career field switches reduce gender disparities in academic publishing," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1365-1383, June.
  • Handle: RePEc:spr:scient:v:123:y:2020:i:3:d:10.1007_s11192-020-03445-1
    DOI: 10.1007/s11192-020-03445-1
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    References listed on IDEAS

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    1. Jennifer Hunt, 2016. "Why do Women Leave Science and Engineering?," ILR Review, Cornell University, ILR School, vol. 69(1), pages 199-226, January.
    2. Hirotaka Kawashima & Hiroyuki Tomizawa, 2015. "Accuracy evaluation of Scopus Author ID based on the largest funding database in Japan," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1061-1071, June.
    3. Valeria Aman, 2018. "Does the Scopus author ID suffice to track scientific international mobility? A case study based on Leibniz laureates," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 705-720, November.
    4. Philippe Mongeon & Adèle Paul-Hus, 2016. "The journal coverage of Web of Science and Scopus: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 213-228, January.
    5. Staša Milojević & Filippo Radicchi & John P. Walsh, 2018. "Changing demographics of scientific careers: The rise of the temporary workforce," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(50), pages 12616-12623, December.
    6. Andreas Strotmann & Dangzhi Zhao, 2012. "Author name disambiguation: What difference does it make in author-based citation analysis?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(9), pages 1820-1833, September.
    7. Paula Stephan & Sharon Levin, 2005. "Leaving Careers in IT: Gender Differences in Retention," The Journal of Technology Transfer, Springer, vol. 30(4), pages 383-396, October.
    8. Andreas Strotmann & Dangzhi Zhao, 2012. "Author name disambiguation: What difference does it make in author‐based citation analysis?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(9), pages 1820-1833, September.
    9. Kimberlee A. Shauman, 2017. "Gender Differences in the Early Employment Outcomes of STEM Doctorates," Social Sciences, MDPI, vol. 6(1), pages 1-26, March.
    10. Constantin Schoen & Katja Rost & David Seidl, 2018. "The influence of gender ratios on academic careers: Combining social networks with tokenism," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-21, November.
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    Cited by:

    1. Ho Fai Chan & Benno Torgler, 2020. "Gender differences in performance of top cited scientists by field and country," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2421-2447, December.

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