Abstract
It was recently reported that men self-cite >50% more often than women across a wide variety of disciplines in the bibliographic database JSTOR. Here, we replicate this finding in a sample of 1.6 million papers from Author-ity, a version of PubMed with computationally disambiguated author names. More importantly, we show that the gender effect largely disappears when accounting for prior publication count in a multidimensional statistical model. Gender has the weakest effect on the probability of self-citation among an extensive set of features tested, including byline position, affiliation, ethnicity, collaboration size, time lag, subject-matter novelty, reference/citation counts, publication type, language, and venue. We find that self-citation is the hallmark of productive authors, of any gender, who cite their novel journal publications early and in similar venues, and more often cross citation-barriers such as language and indexing. As a result, papers by authors with short, disrupted, or diverse careers miss out on the initial boost in visibility gained from self-citations. Our data further suggest that this disproportionately affects women because of attrition and not because of disciplinary under-specialization.
Original language | English (US) |
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Article number | e0195773 |
Journal | PloS one |
Volume | 13 |
Issue number | 9 |
DOIs | |
State | Published - Sep 2018 |
ASJC Scopus subject areas
- General
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Genni + Ethnea for the Author-ity 2009 dataset
Torvik, V. I. (Creator), University of Illinois Urbana-Champaign, Apr 19 2018
DOI: 10.13012/B2IDB-9087546_V1
Dataset
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Conceptual novelty scores for PubMed articles
Mishra, S. (Creator) & Torvik, V. I. (Creator), University of Illinois Urbana-Champaign, Apr 23 2018
DOI: 10.13012/B2IDB-5060298_V1
Dataset