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Cited by 419

The DOI matches its OpenAlex record; 8 of the 8 references it cites were found in a registry or an index.

Measures of Sex Differences in Scientific Productivity

J. Scott Long·1992·Social Forces

Abstract

Satisfactory and robust explanations of sex differences in scientific productivity remain elusive. This article provides a multidimensional, longitudinal description of the productivity of male and female biochemists. Several findings have implications for explaining differences in productivity. Sex differences in the numbers of publications and citations increase during the first decade of the career but are reversed later in the career. The lower productivity of females results from their overrepresentation among nonpublishers and their underrepresentation among the extremely productive. Among biochemists who publish, differences cannot be explained by patterns of collaboration, which are nearly identical for males and females, with one exception: females are much more likely to collaborate with a spouse. The smaller number of citations received by females results from their fewer publications, not from the quality of their publications. Papers by females on average receive more citations than those by males. These and other findings suggest future directions for research to understand sex differences in scientific productivity.

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Metadata

Authors
Long, J. S.
Venue
Social Forces
Publisher
Oxford University Press
Published
1992-09-01
Volume
71
Issue
1
Pages
159-159
ISSN
0037-7732 (ISSN-L)
OpenAlex
W2151135150
Cited by
419
References
8
FWCI
3.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Measures of Sex Differences in Scientific Productivity. https://app.cochat.ai/papers/10.1093/sf/71.1.159
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Long, J. S. (1992). Measures of Sex Differences in Scientific Productivity. Social Forces. https://doi.org/10.1093/sf/71.1.159

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.