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The Possible Role of Resource Requirements and Academic Career-Choice Risk on Gender Differences in Publication Rate and Impact

Overview of attention for article published in PLOS ONE, December 2012
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Title
The Possible Role of Resource Requirements and Academic Career-Choice Risk on Gender Differences in Publication Rate and Impact
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0051332
Pubmed ID
Authors

Jordi Duch, Xiao Han T. Zeng, Marta Sales-Pardo, Filippo Radicchi, Shayna Otis, Teresa K. Woodruff, Luís A. Nunes Amaral

Abstract

Many studies demonstrate that there is still a significant gender bias, especially at higher career levels, in many areas including science, technology, engineering, and mathematics (STEM). We investigated field-dependent, gender-specific effects of the selective pressures individuals experience as they pursue a career in academia within seven STEM disciplines. We built a unique database that comprises 437,787 publications authored by 4,292 faculty members at top United States research universities. Our analyses reveal that gender differences in publication rate and impact are discipline-specific. Our results also support two hypotheses. First, the widely-reported lower publication rates of female faculty are correlated with the amount of research resources typically needed in the discipline considered, and thus may be explained by the lower level of institutional support historically received by females. Second, in disciplines where pursuing an academic position incurs greater career risk, female faculty tend to have a greater fraction of higher impact publications than males. Our findings have significant, field-specific, policy implications for achieving diversity at the faculty level within the STEM disciplines.

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Geographical breakdown

Country Count As %
United States 9 4%
Spain 2 <1%
Peru 1 <1%
Germany 1 <1%
Japan 1 <1%
United Kingdom 1 <1%
Unknown 237 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 25%
Researcher 31 12%
Student > Doctoral Student 19 8%
Professor 18 7%
Student > Master 17 7%
Other 51 20%
Unknown 52 21%
Readers by discipline Count As %
Social Sciences 54 21%
Agricultural and Biological Sciences 23 9%
Physics and Astronomy 15 6%
Computer Science 14 6%
Medicine and Dentistry 14 6%
Other 72 29%
Unknown 60 24%