IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v85y2010i3d10.1007_s11192-010-0256-y.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-010-0256-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-010-0256-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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).
    5. 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).
    6. 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.
    7. 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.
    8. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alberto Pepe & Marko A. Rodriguez, 2010. "Collaboration in sensor network research: an in-depth longitudinal analysis of assortative mixing patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 687-701, September.
    2. Zhao, Star X. & Rousseau, Ronald & Ye, Fred Y., 2011. "h-Degree as a basic measure in weighted networks," Journal of Informetrics, Elsevier, vol. 5(4), pages 668-677.
    3. Sahatqija, Kosovare & Kadriu, Arbana, 2019. "Exploring Gender Role in Co-Authorship Networks for Computing Books: A Case Study in DBLP," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2019), Rovinj, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 12-14 September 2019, pages 33-39, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    4. Carusi, Chiara & Bianchi, Giuseppe, 2019. "Scientific community detection via bipartite scholar/journal graph co-clustering," Journal of Informetrics, Elsevier, vol. 13(1), pages 354-386.
    5. Erjia Yan & Ying Ding & Qinghua Zhu, 2010. "Mapping library and information science in China: a coauthorship network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 115-131, April.
    6. Donald deB. Beaver, 2012. "Quantity is only one of the qualities," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 33-39, October.
    7. Kruzich, Jean M. & Mienko, Joseph A. & Courtney, Mark E., 2014. "Individual and work group influences on turnover intention among public child welfare workers: The effects of work group psychological safety," Children and Youth Services Review, Elsevier, vol. 42(C), pages 20-27.
    8. So Yoon Yoon & Julie L. Aldridge & Monica F. Cox & Joyce B. Main & Ebony Omotola McGee & Meseret F. Hailu, 2023. "Development and Validation of the Workplace Climate and Persistence Scale for STEM Faculty Framed in Intersectionality of Gender, Race/Ethnicity, and Socioeconomic Background," Research in Higher Education, Springer;Association for Institutional Research, vol. 64(6), pages 933-958, September.
    9. Lina M. Cortés & Andrés Mora-Valencia & Javier Perote, 2016. "The productivity of top researchers: a semi-nonparametric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 891-915, November.
    10. Carla Taramasco & Jean-Philippe Cointet & Camille Roth, 2010. "Academic team formation as evolving hypergraphs," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 721-740, December.
    11. Gerson Pech & Catarina Delgado, 2020. "Percentile and stochastic-based approach to the comparison of the number of citations of articles indexed in different bibliographic databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 223-252, April.
    12. Almpanidou, Vasiliki & Mazaris, Antonios D. & Mertzanis, Yorgos & Avraam, Ioannis & Antoniou, Ioannis & Pantis, John D. & Sgardelis, Stefanos P., 2014. "Providing insights on habitat connectivity for male brown bears: A combination of habitat suitability and landscape graph-based models," Ecological Modelling, Elsevier, vol. 286(C), pages 37-44.
    13. Allison L. Hopkins & James W. Jawitz & Christopher McCarty & Alex Goldman & Nandita B. Basu, 2013. "Disparities in publication patterns by gender, race and ethnicity based on a survey of a random sample of authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 515-534, August.
    14. Julia Melkers & Agrita Kiopa, 2010. "The Social Capital of Global Ties in Science: The Added Value of International Collaboration," Review of Policy Research, Policy Studies Organization, vol. 27(4), pages 389-414, July.
    15. William Latham & Christian Le Bas, 2011. "Causes, Consequences and Dynamics of ‘Complex’ Distributions of Technological Activities: The Case of Prolific Inventors," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 9, Edward Elgar Publishing.
    16. Feldy Marzena & Bojko Marta, 2020. "Job Expectations and Satisfaction Among Scientists," Marketing of Scientific and Research Organizations, Sciendo, vol. 35(1), pages 1-28, March.
    17. Anil, Akash & Singh, Sanasam Ranbir, 2020. "Effect of class imbalance in heterogeneous network embedding: An empirical study," Journal of Informetrics, Elsevier, vol. 14(2).
    18. Raheleh Salimzadeh & Nathan C. Hall & Alenoush Saroyan, 2020. "Stress, Emotion Regulation, and Well-Being among Canadian Faculty Members in Research-Intensive Universities," Social Sciences, MDPI, vol. 9(12), pages 1-37, December.
    19. Yongli Li & Guijie Zhang & Yuqiang Feng & Chong Wu, 2015. "An entropy-based social network community detecting method and its application to scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 1003-1017, January.
    20. Eric E. Griffith & Nilanjana Dasgupta, 2018. "How the Demographic Composition of Academic Science and Engineering Departments Influences Workplace Culture, Faculty Experience, and Retention Risk," Social Sciences, MDPI, vol. 7(5), pages 1-25, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:85:y:2010:i:3:d:10.1007_s11192-010-0256-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.