Kwiek, Marek, Szymula, Lukasz (2024). Quantifying attrition in science: a cohort-based, longitudinal study of scientists in 38 OECD countries. Higher Education. https://doi.org/10.1007/s10734-024-01284-0, https://link.springer.com/article/10.1007/s10734-024-01284-0#citeas or Here (PDF).

Abstract

In this paper, we explore how members of the scientific community leave academic science and how attrition (defined as ceasing to publish) differs across genders, academic disciplines, and over time. Our approach is cohort-based and longitudinal: We track individual male and female scientists over time and quantify the phenomenon traditionally referred to as “leaving science.” Using publication metadata from Scopus—a global bibliometric database of publications and citations—we follow the details of the publishing careers of scientists from 38 OECD countries who started publishing in 2000 (N = 142,776) and 2010 (N = 232,843). Our study is restricted to 16 STEMM disciplines (science, technology, engineering, mathematics, and medicine), and we track the individual scholarly output of the two cohorts until 2022. We use survival analysis to compare attrition of men and women scientists. With more women in science and more women within cohorts, attrition is becoming ever less gendered. In addition to the combined aggregated changes at the level of all STEMM disciplines, widely nuanced changes were found to occur at the discipline level and over time. Attrition in science means different things for men versus women depending on the discipline; moreover, it means different things for scientists from different cohorts entering the scientific workforce. Finally, global bibliometric datasets were tested in the current study, opening new opportunities to explore gender and disciplinary differences in attrition.

References

Allison, P. D. (2014). Event history and survival analysis. Sage.

Alper, J. (1993). The pipeline is leaking women all the way along. Science, 260(5110), 409–411.

Baas, J., Schotten, M., Plume, A., Côté, G., & Karimi, R. (2020). Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative Science Studies, 1(1), 377–386. https://doi.org/10.1162/qss_a_00019

Blickenstaff, J. C. (2005). Women and science careers: Leaky pipeline or gender filter? Gender and Education, 17(4), 369–386.

Branch, E.H. ed. (2016). Pathways, Potholes, and the Persistence of Women in Science. Reconsidering the Pipeline. Lexington Books.

Branch, E.H., & Alegria, S. (2016). Gendered Responses to Failure in Undergraduate Computing. Evidence, Contradictions, and New Directions. In: E.H. Branch (ed.), Pathways, Potholes, and the Persistence of Women in Science. Reconsidering the Pipeline (p. 17-31). Lexington Books.

Britton, D. M. (2017). Beyond the chilly climate: The salience of gender in women’s academic careers. Gender & Society, 31(1), 5–27.

Cornelius, R., Constantinople, A., & Gray, J. (1988). The chilly climate: Fact or artifact? The Journal of Higher Education, 59(5), 527–55.

Deutsch, F. M., & Yao, B. (2014). Gender differences in faculty attrition in the USA. Community, Work & Family, 17(4), 392–408.

Ehrenberg, R. G., Kasper, H., & Rees, D. I. (1991). Faculty turnover in American colleges and universities. Economics of Education Review, 10(2), 99–110.

Elsevier (2018). Gender in the global research landscape. Elsevier.

Elsevier. (2020). The researcher journey through a gender lens. Elsevier.

Fox, M. F. (2010). Women and Men Faculty in Academic Science and Engineering: Social-Organizational Indicators and Implications. American Behavioral Scientist, 53, 997–1012.

Fox, M. F., & Mohapatra, S. (2007). Social-organizational characteristics of work and publication productivity among academic scientists in doctoral-granting departments. The Journal of Higher Education, 78(5), 542–571.

Fox, M. F. (2020). Gender, science, and academic rank: Key issues and approaches. Quantitative Science Studies, 1(3), 1001–1006.

Fox, M. F., Realff, M. L., Rueda, D. R., & Morn, J. (2017). International research collaboration among women engineers: Frequency and perceived barriers, by regions. Journal of Technology Transfer, 42(6), 1292–1306.

Fox, M.F., & Xiao, W. (2013). Perceived Chances for Promotion Among Women Associate Professors in Computing: Individual, Departmental, and Entrepreneurial Factors. Journal of Technology Transfer 38: 135–152.

Fox, M.F., & Kline, K. (2016). Women Faculty in Computing. A Key Case of Women in Science. In: E.H. Branch (ed.), Pathways, Potholes, and the Persistence of Women in Science. Reconsidering the Pipeline (p. 54-69). Lexington Books.

Geuna, A., & Shibayama, S. (2015). Moving out of academic research: Why do scientists stop doing research? In A. Geuna (Ed.), Global mobility of research scientists (pp. 271–297). Elsevier.

Glenn, N.D. (2005). Cohort Analysis. Sage.

Goulden, M., Mason, M. A., & Frasch, K. (2011). Keeping women in the science pipeline. The ANNALS of the American Academy of Political and Social Science, 638, 141–162.

Hammarfelt, B. (2017). Recognition and reward in the academy: Valuing publication oeuvres in biomedicine, economics and history. Aslib Journal of Information Management, 69(5), 607–623.

Holman, L., Stuart-Fox, D., & Hauser, C. E. (2018). The gender gap in science: How long until women are equally represented? PLOS Biology, 16(4), 1–20.

Ioannidis, J. P. A., Boyack, K. W., & Klavans, R. (2014). Estimates of the continuously publishing core in the scientific workforce. PLOS One, 9(7), e101698.

Kaminski, D., & Geisler, C. (2012). Survival analysis of faculty retention in science and engineering by gender. Science, 335, 864–866.

Kanter, R. M. (1977). Some effects of proportions on group life: Skewed sex ratios and responses to token women. American Journal of Sociology, 82(5), 965–990.

Karimi, F., Wagner, C., Lemmerich, F., Jadidi, M., & Strohmaier, M. (2016). Inferring gender from names on the web: A comparative evaluation of gender detection methods. In Proceedings of the 25th International Conference Companion on World Wide Web (pp. 53–54).

Kashyap, R., Rinderknecht, R. G., Akbaritabar, A., Alburez-Gutierrez, D., Gil-Clavel, S., Grow, A., Zhao, X. (2023). Digital and computational demography. In: Research handbook on digital sociology, 48–86. Cheltenham: Edward Elgar Publishing.

King, M. M., Bergstrom, C. T., Correll, S. J., Jacquet, J., & West, J. D. (2017). Men set their own cites high: Gender and self-citation across fields and over time. Socius, 3.

Kwiek, M. (2016). The European research elite: A cross-national study of highly productive academics across 11 European systems. Higher Education, 71(3), 379–397.

Kwiek, M., & Roszka, W. (2021a). Gender disparities in international research collaboration: A large-scale bibliometric study of 25,000 university professors. Journal of Economic Surveys, 35(5), 1344–1388.

Kwiek, M., & Roszka, W. (2021b). Gender-based homophily in research: A large-scale study of man-woman collaboration. Journal of Informetrics, 15(3), 1–38.

Kwiek, M., & Roszka, W. (2022). Are female scientists less inclined to publish alone? The gender solo research gap. Scientometrics, 127, 1697–1735.

Kwiek, M., & Roszka, W. (2023). The young and the old, the fast and the slow: A large-scale study of productivity classes and rank advancement. Studies in Higher Education. https://doi.org/10.1080/03075079.2023.2288172

Kwiek, M., & Roszka, W. (2024). Once highly productive, forever highly productive? Full professors’ research productivity from a longitudinal perspective. Higher Education, 87, 519–549.

Kwiek, M., & Szymula, L. (2023). Young male and female scientists: A quantitative exploratory study of the changing demographics of the global scientific workforce. Quantitative Science Studies, 4(4), 902–937.

Larivière, V., Ni, C., Gingras, Y., Cronin, B., & Sugimoto, C. R. (2013). Bibliometrics: Global gender disparities in science. Nature, 504(7479), 211–213.

Liu, L., Jones, B. F., Uzzi, B., et al. (2023). Data, measurement, and empirical methods in the science of science. Nature Human Behaviour, 7, 1046–1058.

Maranto, C. L., & Griffin, A. E. (2011). The antecedents of a “chilly climate” for women faculty in higher education. Human Relations, 64(2), 139–159.

Menard, S. (2002). Longitudinal Research. Sage.

Mihaljević, H., & Santamaría, L. (2020). Authorship in top-ranked mathematical and physical journals: Role of gender on self-perceptions and bibliographic evidence. Quantitative Science Studies, 1(4), 1468–1492.

Mihaljević-Brandt, H., Santamaría, L., & Tullney, M. (2016). The effect of gender in the publication patterns in mathematics. PLOS ONE, 11(10), 1–3.

Mills, M. (2011). Introducing survival and event history analysis. Sage.

Milojevic, S., Radicchi, F., & Walsh, J. P. (2018). Changing demographics of scientific careers: The rise of the temporary workforce. Proceedings of the National Academy of Sciences, 115, 12616–12623.

NamSor (2024). NamSor API documentation available from https://namsor.app/api-documentation/.

Nielsen, M. W., & Andersen, J. P. (2021). Global citation inequality is on the rise. Proceedings of the National Academy of Sciences, 118(7), e2012208118.

Nygaard, L. P., Piro, F., & Aksnes, D. (2022). Gendering excellence through research productivity indicators. Gender and Education, 34(6), 690–704.

Preston, A. E. (2004). Leaving science. Occupational exit from scientific careers. Russell Sage Foundation.

Rosser, V. J. (2004). Faculty members’ intentions to leave: A national study on their work-life and satisfaction. Research in Higher Education, 45(3), 285–309.

Sanliturk, E., Zagheni, E., Dańko, M. J., Theile, T., & Akbaritabar, A. (2023). Global patterns of migration of scholars with economic development. PNAS, 120(4), e2217937120.

Santos, J. M., Horta, H., & Amâncio, L. (2020). Research agendas of female and male academics: A new perspective on gender disparities in academia. Gender and Education, 1–19.

Sebo, P. (2021). Performance of gender detection tools: a comparative study of name-to-gender inference services. Journal of the Medical Library Association, 109(3), 414-421.

Sebo, P. (2023). How well does NamSor perform in predicting the country of origin and ethnicity of individuals based on their first and last names? PLOS One, November 16, 2023, https://doi.org/10.1371/journal.pone.0294562

Science-Metrix (2018). Analytical Support for Bibliometrics Indicators. Development of bibliometric indicators to measure women’s contribution to scientific publications. Final Report. Science-Metrix.

Shaw, A. K., & Stanton, D. E. (2012). Leaks in the pipeline: Separating demographic inertia from ongoing gender differences in academia. Proceedings of the Royal Society B. Biological Sciences, 279(1743), 3736–3741.

Shibayama, S., & Baba, Y. (2015). Impact-oriented science policies and scientific publication practices: The case of life sciences in Japan. Research Policy, 44(4), 936–950.

Smart, J. C. (1990). A causal model of faculty turnover intentions. Research in Higher Education, 31(5), 405–424.

Spoon K., LaBerge N., Wapman K.H., Zhang S., Morgan A.C., Galesic M., Fosdick B.K., Larremore D.B., Clauset A. (2023). Gender and retention patterns among U.S. faculty. Science Advances, 9, eadi2205. https://doi.org/10.1126/sciadv.adi2205

Stephan, P. E. (2012). How economics shapes science. Harvard University Press.

Sugimoto, C., & Larivière, V. (2023). Equity for women in science: Dismantling systemic barriers to advancement. Harvard University Press.

Tang, L., & Horta, H. (2023). Supporting academic women’s careers: Male and female academics’ perspectives at a Chinese research university. Minerva. https://doi.org/10.1007/s11024-023-09506-y

Wang, D., & Barabási, A.-L. (2021). The science of science. Cambridge University Press.

Watt, H. M. G., Hyde, J. S., Petersen, J., Morris, Z. A., Rozek, C. S., and Harackiewicz, J. M. (2017). Mathematics – a critical filter for STEM-related career choices? A longitudinal examination among Australian and U.S. adolescents. Sex Roles 77, 254–271.

West, J. D., Jacquet, J., King, M. M., Correll, S. J., & Bergstrom, C. T. (2013). The role of gender in scholarly authorship. PLOS ONE, 8(7), e66212.

White-Lewis, D. K., O’Meara, K., Mathews, K., et al. (2023). Leaving the institution or leaving the academy? Analyzing the factors that faculty weigh in actual departure decisions. Research in Higher Education, 64, 473–494.

Wohrer, V. (2014). To stay or to go? Narratives of early-stage sociologists about persisting in academia. Higher Education Policy, 27, 469–487.

Wolfinger, N. H., Mason, M. A., & Goulden, M. (2008). Problems in the pipeline: Gender, marriage, and fertility in the ivory tower. Journal of Higher Education, 79(4), 388–405.

Xie, Y., & Shauman, K.A. (2003). Women in Science: Career Processes and Outcomes. Harvard University Press.

Xu, Y. J. (2008). Gender disparity in STEM disciplines: A study of faculty attrition and turnover intentions. Research in Higher Education, 49, 607–624.

Zhou, Y., & Volkwein, J. F. (2004). Examining the influence on faculty departure intentions: A comparison of tenured versus nontenured faculty at research universities using NSOPF-99. Research in Higher Education, 45(2), 139–176.