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Self-Selected or Mandated, Open Access Increases Citation Impact for Higher Quality Research

Overview of attention for article published in PLOS ONE, October 2010
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240 X users
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Citations

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Title
Self-Selected or Mandated, Open Access Increases Citation Impact for Higher Quality Research
Published in
PLOS ONE, October 2010
DOI 10.1371/journal.pone.0013636
Pubmed ID
Authors

Yassine Gargouri, Chawki Hajjem, Vincent Larivière, Yves Gingras, Les Carr, Tim Brody, Stevan Harnad

Abstract

Articles whose authors have supplemented subscription-based access to the publisher's version by self-archiving their own final draft to make it accessible free for all on the web ("Open Access", OA) are cited significantly more than articles in the same journal and year that have not been made OA. Some have suggested that this "OA Advantage" may not be causal but just a self-selection bias, because authors preferentially make higher-quality articles OA. To test this we compared self-selective self-archiving with mandatory self-archiving for a sample of 27,197 articles published 2002-2006 in 1,984 journals. METHDOLOGY/PRINCIPAL FINDINGS: The OA Advantage proved just as high for both. Logistic regression analysis showed that the advantage is independent of other correlates of citations (article age; journal impact factor; number of co-authors, references or pages; field; article type; or country) and highest for the most highly cited articles. The OA Advantage is real, independent and causal, but skewed. Its size is indeed correlated with quality, just as citations themselves are (the top 20% of articles receive about 80% of all citations). The OA advantage is greater for the more citable articles, not because of a quality bias from authors self-selecting what to make OA, but because of a quality advantage, from users self-selecting what to use and cite, freed by OA from the constraints of selective accessibility to subscribers only. It is hoped that these findings will help motivate the adoption of OA self-archiving mandates by universities, research institutions and research funders.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
United States 33 5%
United Kingdom 18 3%
Germany 11 2%
Canada 9 1%
Spain 8 1%
Netherlands 7 1%
Mexico 6 <1%
Ireland 4 <1%
Portugal 4 <1%
Other 47 7%
Unknown 517 78%

Demographic breakdown

Readers by professional status Count As %
Librarian 120 18%
Researcher 107 16%
Student > Ph. D. Student 101 15%
Student > Master 63 9%
Other 56 8%
Other 165 25%
Unknown 52 8%
Readers by discipline Count As %
Social Sciences 173 26%
Computer Science 108 16%
Agricultural and Biological Sciences 80 12%
Medicine and Dentistry 44 7%
Arts and Humanities 38 6%
Other 152 23%
Unknown 69 10%