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Gendered Citation Patterns across Political Science and Social Science Methodology Fields

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TLDR
For instance, the authors found that female scholars are significantly more likely than mixed gender or male author teams to cite research by their female peers, but that these citation rates vary depending on the overall distribution of women in their field.
Abstract
Accumulated evidence identifies discernible gender gaps across many dimensions of professional academic careers including salaries, publication rates, journal placement, career progress, and academic service. Recent work in political science also reveals gender gaps in citations, with articles written by men citing work by other male scholars more often than work by female scholars. This study estimates the gender gap in citations across political science subfields and across methodological subfields within political science, sociology, and economics. The research design captures variance across research areas in terms of the underlying distribution of female scholars. We expect that subfields within political science and social science disciplines with more women will have smaller gender citation gaps, a reduction of the “Matthew effect” where men’s research is viewed as the most central and important in a field. However, gender citation gaps may persist if a “Matilda effect” occurs whereby women’s research is viewed as less important or their ideas are attributed to male scholars, even as a field becomes more diverse. Analysing all articles published from 2007–2016 in several journals, we find that female scholars are significantly more likely than mixed gender or male author teams to cite research by their female peers, but that these citation rates vary depending on the overall distribution of women in their field. More gender diverse subfields and disciplines produce smaller gender citation gaps, consistent with a reduction in the “Matthew effect”. However, we also observe undercitation of work by women, even in journals that publish mostly female authors. While improvements in gender diversity in academia increase the visibility and impact of scholarly work by women, implicit biases in citation practices in the social sciences persist.

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The extent and drivers of gender imbalance in neuroscience reference lists.

TL;DR: It is found that women-led work tends to be undercited relative to expectations and this imbalance is driven largely by the citation practices of men and is increasing over time as the field diversifies.
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The extent and drivers of gender imbalance in neuroscience reference lists

TL;DR: It is found that reference lists tend to include more papers with men as first and last author than would be expected if gender were not a factor in referencing, and this overcitation of men and undercitation of women is driven largely by the citation practices of men, and is increasing over time as the field becomes more diverse.
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Environmental influences on the pace of brain development.

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Racial and ethnic imbalance in neuroscience reference lists and intersections with gender

TL;DR: It is shown that reference lists tend to include more papers with a White person as first and last author than would be expected if race and ethnicity were unrelated to referencing, and this imbalance is driven largely by the citation practices of White authors, and is increasing over time even as the field diversifies.
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The why, how, and when of representations for complex systems

TL;DR: This work uses basic, domain-agnostic language to evaluate each step of the complex systems analysis pipeline, beginning with the system and data collected, then moving through different mathematical formalisms for encoding the observed data, and relevant computational methods for each formalism.
References
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Journal ArticleDOI

The Gender Citation Gap in International Relations

TL;DR: This article investigated the extent to which citation and publication patterns differ between men and women in the international relations literature and found that women are systematically cited less than men after controlling for a large number of variables.
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The Matthew Matilda Effect in Science

TL;DR: In this article, the authors brought to light so many cases, historical and contemporary, of women scientists who have been ignored, denied credit or otherwise dropped from sight that a sex-linked phenomenon se...
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The Matilda Effect in Science Communication: An Experiment on Gender Bias in Publication Quality Perceptions and Collaboration Interest

TL;DR: In an experiment with 243 young communication scholars, this article tested hypotheses derived from role congruity theory regarding impacts of author gender and gender typing of research topics on perceived quality of scientific publications and collaboration interest.
Journal ArticleDOI

Gender Differences in Publication Output: Towards an Unbiased Metric of Research Performance

TL;DR: It is shown that a recently proposed index designed to rank scientists fairly is in fact strongly biased against female researchers, and advocate a modified index to assess men and women on a more equitable basis.
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