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Self-citation is the hallmark of productive authors, of any gender
Self-citation is the hallmark of productive authors, of any gender
- Source :
- PLoS ONE, PLoS ONE, Vol 13, Iss 9, p e0195773 (2018)
- Publication Year :
- 2016
-
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.
- Subjects :
- Male
European People
Economics
Ethnic group
lcsh:Medicine
Social Sciences
5. Gender equality
Citation analysis
Ethnicities
Psychology
French People
10. No inequality
lcsh:Science
Language
Multidisciplinary
Careers
05 social sciences
Novelty
Research Assessment
Italian People
Citation Analysis
Female
Periodicals as Topic
050904 information & library sciences
Social psychology
Discipline
Research Article
Employment
PubMed
MEDLINE
050905 science studies
Research and Analysis Methods
Humans
Scientific Publishing
lcsh:R
Cognitive Psychology
Biology and Life Sciences
Models, Theoretical
Variety (linguistics)
Bibliographic database
Labor Economics
People and Places
Cognitive Science
lcsh:Q
Population Groupings
0509 other social sciences
Citation
Chinese People
Neuroscience
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 13
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- PloS one
- Accession number :
- edsair.doi.dedup.....2af84d3cb2f556560a7236b37155c7bc