The association between early career informal mentorship in academic collaborations and junior author performance.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
17 11 2020
Historique:
received: 04 11 2019
accepted: 14 10 2020
entrez: 18 11 2020
pubmed: 19 11 2020
medline: 17 12 2020
Statut: epublish

Résumé

We study mentorship in scientific collaborations, where a junior scientist is supported by potentially multiple senior collaborators, without them necessarily having formal supervisory roles. We identify 3 million mentor-protégé pairs and survey a random sample, verifying that their relationship involved some form of mentorship. We find that mentorship quality predicts the scientific impact of the papers written by protégés post mentorship without their mentors. We also find that increasing the proportion of female mentors is associated not only with a reduction in post-mentorship impact of female protégés, but also a reduction in the gain of female mentors. While current diversity policies encourage same-gender mentorships to retain women in academia, our findings raise the possibility that opposite-gender mentorship may actually increase the impact of women who pursue a scientific career. These findings add a new perspective to the policy debate on how to best elevate the status of women in science.

Identifiants

pubmed: 33203848
doi: 10.1038/s41467-020-19723-8
pii: 10.1038/s41467-020-19723-8
pmc: PMC7672107
doi:

Types de publication

Journal Article Retracted Publication

Langues

eng

Sous-ensembles de citation

IM

Pagination

5855

Commentaires et corrections

Type : RetractionIn

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Auteurs

Bedoor AlShebli (B)

Department of Computer Science, Science Division, New York University Abu Dhabi, Abu Dhabi, UAE. bedoor@nyu.edu.
Computational Social Science Lab, Social Science Division, New York University Abu Dhabi, Abu Dhabi, UAE. bedoor@nyu.edu.

Kinga Makovi (K)

Social Research and Public Policy, Social Science Division, New York University Abu Dhabi, Abu Dhabi, UAE.

Talal Rahwan (T)

Department of Computer Science, Science Division, New York University Abu Dhabi, Abu Dhabi, UAE. talal.rahwan@nyu.edu.

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