Are Female Applicants Disadvantaged in National Institutes of Health Peer Review? Combining Algorithmic Text Mining and Qualitative Methods to Detect Evaluative Differences in R01 Reviewers' Critiques-Reference-Cited by-同舟云学术

Are Female Applicants Disadvantaged in National Institutes of Health Peer Review? Combining Algorithmic Text Mining and Qualitative Methods to Detect Evaluative Differences in R01 Reviewers' Critiques

Published:2017-05 Issue:5 Volume:26 Page:560-570
ISSN:1540-9996
Container-title:Journal of Women's Health
language:en
Short-container-title:Journal of Women's Health

Author:

Magua Wairimu¹,Zhu Xiaojin²,Bhattacharya Anupama³,Filut Amarette³,Potvien Aaron⁴⁵,Leatherberry Renee³,Lee You-Geon⁶,Jens Madeline³,Malikireddy Dastagiri³,Carnes Molly³⁷⁸,Kaatz Anna³

Affiliation:

1. Department of Population Health Sciences, University of Wisconsin-Madison, Madison, Wisconsin.

2. Department of Computer Science, University of Wisconsin-Madison, Madison, Wisconsin.

3. Center for Women's Health Research, University of Wisconsin-Madison, Madison, Wisconsin.

4. Department of Statistics, University of Wisconsin-Madison, Madison, Wisconsin.

5. Health Innovation Program, University of Wisconsin-Madison, Madison, Wisconsin.

6. Wisconsin Center for Education Research, University of Wisconsin-Madison, Madison, Wisconsin.

7. Departments of Medicine, Psychiatry, and Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, Wisconsin.

8. William S. Middleton Veterans Hospital, Madison, Wisconsin.

Publisher

Mary Ann Liebert Inc

Subject

General Medicine

Link

http://www.liebertpub.com/doi/pdf/10.1089/jwh.2016.6021

Reference87 articles.

1. Committee on Maximizing the Potential of Women in Academic Science EU, Committee on Science, & Public Policy (US). Beyond bias and barriers: fulfilling the potential of women in academic science and engineering. Washington, DC: National Academy Press, 2007.

2. Does Diversity Pay?: Race, Gender, and the Business Case for Diversity

3. Groups of diverse problem solvers can outperform groups of high-ability problem solvers

4. DesvauxG, Devillard-HoellingerS, BaumgartenP. Women matter: Gender diversity, a corporate performance driver. Paris: McKinsey, 2007.

5. Women's Health and Women's Leadership in Academic Medicine: Hitting the Same Glass Ceiling?

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