Academic career intentions in the life sciences: Can research self-efficacy beliefs explain low numbers of aspiring physician and female scientists?
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DOI: 10.1371/journal.pone.0184543
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References listed on IDEAS
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- Ballestar, María Teresa & Doncel, Luis Miguel & Sainz, Jorge & Ortigosa-Blanch, Arturo, 2019. "A novel machine learning approach for evaluation of public policies: An application in relation to the performance of university researchers," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
- 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.
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