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Women in STEM networks: who seeks advice and support from women scientists?

Author

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  • Mary K. Feeney

    (University of Illinois at Chicago)

  • Margarita Bernal

    (University of Illinois at Chicago)

Abstract

Supporting and advancing women’s science careers continues to be of interest to researchers, scientists, science funders, and universities. Similarly, professional advice and support networks are important to understanding the advancement of scientific careers. This research aims to marry these two lines of research to investigate and compare the ways in which men and women scientists seek advice and support from women in their networks. Using a sample of academic scientists in nonmedical biology, chemistry, computer science, earth and atmospheric sciences, electrical engineering, and physics we assess the extent to which women and men scientists seek advice and support from women in their networks. We find that field of science is the primary predictor for the presence of women in scientists’ advice and support networks. We also find that citizenship, rank, age, and friendship are significantly related to the proportion of women in women’s networks, but are not consistently significantly related to the proportion of women in men’s networks. We conclude with a discussion of the findings and the distinctions between men and women scientists’ advice and support networks.

Suggested Citation

  • Mary K. Feeney & Margarita Bernal, 2010. "Women in STEM networks: who seeks advice and support from women scientists?," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 767-790, December.
    • Handle: RePEc:spr:scient:v:85:y:2010:i:3:d:10.1007_s11192-010-0256-y
    DOI: 10.1007/s11192-010-0256-y
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    References listed on IDEAS

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    1. Rodriguez, Marko A. & Pepe, Alberto, 2008. "On the relationship between the structural and socioacademic communities of a coauthorship network," Journal of Informetrics, Elsevier, vol. 2(3), pages 195-201.
    2. Ronda Callister, 2006. "The Impact of Gender and Department Climate on Job Satisfaction and Intentions to Quit for Faculty in Science and Engineering Fields," The Journal of Technology Transfer, Springer, vol. 31(3), pages 367-375, May.
    3. Kretschmer, Hildrun & Kretschmer, Theo, 2007. "Lotka's distribution and distribution of co-author pairs’ frequencies," Journal of Informetrics, Elsevier, vol. 1(4), pages 308-337.
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    Citations

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    Cited by:

    1. Kwiek, Marek & Roszka, Wojciech, 2021. "Gender-based homophily in research: A large-scale study of man-woman collaboration," Journal of Informetrics, Elsevier, vol. 15(3).
    2. Luigi Di Caro & Mario Cataldi & Claudio Schifanella, 2012. "The d-index: Discovering dependences among scientific collaborators from their bibliographic data records," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 583-607, December.
    3. Lutter, Mark & Habicht, Isabel M. & Schröder, Martin, 2022. "Gender differences in the determinants of becoming a professor in Germany. An event history analysis of academic psychologists from 1980 to 2019," Research Policy, Elsevier, vol. 51(6).
    4. Nurith Epstein & Daniel Lachmann, 2018. "Gender Inequity during the Ph.D.: Females in the Life Sciences Benefit Less from Their Integration into the Scientific Community," Social Sciences, MDPI, vol. 7(8), pages 1-15, August.
    5. Nadine V. Kegen, 2015. "Cohesive subgroups in academic networks: unveiling clique integration of top-level female and male researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 897-922, June.
    6. Rogge, Jan-Christoph, 2015. "The winner takes it all? Die Zukunftsperspektiven des wissenschaftlichen Mittelbaus auf dem akademischen Quasi-Markt," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 67(4), pages 685-707.
    7. 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.
    8. Diogo L Pinheiro & Julia Melkers & Sunni Newton, 2017. "Take me where I want to go: Institutional prestige, advisor sponsorship, and academic career placement preferences," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-24, May.

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