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Scientometrics

, Volume 112, Issue 2, pp 877–901 | Cite as

Reconsidering the gold open access citation advantage postulate in a multidisciplinary context: an analysis of the subject categories in the Web of Science database 2009–2014

  • Pablo Dorta-GonzálezEmail author
  • Sara M. González-Betancor
  • María Isabel Dorta-González
Article

Abstract

Since Lawrence in 2001 proposed the open access (OA) citation advantage, the potential benefit of OA in relation to citation impact has been discussed in depth. The methodology to test this postulate ranges from comparing the impact factors of OA journals versus traditional ones, to comparing citations of OA versus non-OA articles published in the same non-OA journals. However, conclusions are not entirely consistent among fields, and two possible explications have been suggested in those fields where a citation advantage has been observed for OA: the early view and the selection bias postulates. In this study, a longitudinal and multidisciplinary analysis of gold OA citation advantage is developed. All research articles in all journals for all subject categories in the multidisciplinary database Web of Science are considered. A total of 1,138,392 articles—60,566 (5.3%) OA articles and 1,077,826 (94.7%) non-OA articles—published in 2009 are analysed. The citation window considered goes from 2009 to 2014, and data are aggregated for the 249 disciplines (subject categories). At journal level, we also study the evolution of journal impact factors for OA and non-OA journals in those disciplines whose OA prevalence is higher (top 36 subject categories). As the main conclusion, there is no generalizable gold OA citation advantage, neither at article nor at journal level.

Keywords

Open access Citation advantage Gold open access prevalence Citation impact Journal visibility 

Notes

Acknowledgements

This research has been supported by the Ministerio de Economía, Industria y Competitividad of Spain under the research project ECO2014-59067-P.

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Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2017

Authors and Affiliations

  1. 1.TiDES Research InstituteUniversidad de Las Palmas de Gran CanariaLas Palmas de Gran CanariaSpain
  2. 2.Departamento de Métodos Cuantitativos en Economía y GestiónUniversidad de Las Palmas de Gran CanariaLas Palmas de Gran CanariaSpain
  3. 3.Departamento de Ingeniería Informática y de SistemasUniversidad de La LagunaLa LagunaSpain

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