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Gendered citation patterns among the scientific elite.
Lerman, Kristina; Yu, Yulin; Morstatter, Fred; Pujara, Jay.
Afiliación
  • Lerman K; Information Sciences Institute, University of Southern California, Marina del Rey, CA 90292.
  • Yu Y; School of Information, University of Michigan, Ann Arbor, MI 48109.
  • Morstatter F; Information Sciences Institute, University of Southern California, Marina del Rey, CA 90292.
  • Pujara J; Information Sciences Institute, University of Southern California, Marina del Rey, CA 90292.
Proc Natl Acad Sci U S A ; 119(40): e2206070119, 2022 Oct 04.
Article en En | MEDLINE | ID: mdl-36161888
Diversity in science is necessary to improve innovation and increase the capacity of the scientific workforce. Despite decades-long efforts to increase gender diversity, however, women remain a small minority in many fields, especially in senior positions. The dearth of elite women scientists, in turn, leaves fewer women to serve as mentors and role models for young women scientists. To shed light on gender disparities in science, we study prominent scholars who were elected to the National Academy of Sciences. We construct author citation networks that capture the structure of recognition among scholars' peers. We identify gender disparities in the patterns of peer citations and show that these differences are strong enough to accurately predict the scholar's gender. In contrast, we do not observe disparities due to prestige, with few significant differences in the structure of citations of scholars affiliated with high-ranked and low-ranked institutions. These results provide further evidence that a scholar's gender plays a role in the mechanisms of success in science.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2022 Tipo del documento: Article