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Open access and sources of full-text articles in Google Scholar in different subject fields

Author

Listed:
  • Hamid R. Jamali

    (Kharazmi University)

  • Majid Nabavi

    (Iranian Research Institute for Information Science and Technology)

Abstract

Google Scholar, a widely used academic search engine, plays a major role in finding free full-text versions of articles. But little is known about the sources of full-text files in Google Scholar. The aim of the study was to find out about the sources of full-text items and to look at subject differences in terms of number of versions, times cited, rate of open access availability and sources of full-text files. Three queries were created for each of 277 minor subject categories of Scopus. The queries were searched in Google Scholar and the first ten hits for each query were analyzed. Citations and patents were excluded from the results and the time frame was limited to 2004–2014. Results showed that 61.1 % of articles were accessible in full-text in Google Scholar; 80.8 % of full-text articles were publisher versions and 69.2 % of full-text articles were PDF. There was a significant difference between the means of times cited of full text items and non-full-text items. The highest rate of full text availability for articles belonged to life science (66.9 %). Publishers’ websites were the main source of bibliographic information for non-full-text articles. For full-text articles, educational (edu, ac.xx etc.) and org domains were top two sources of full text files. ResearchGate was the top single website providing full-text files (10.5 % of full-text articles).

Suggested Citation

  • Hamid R. Jamali & Majid Nabavi, 2015. "Open access and sources of full-text articles in Google Scholar in different subject fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1635-1651, December.
    • Handle: RePEc:spr:scient:v:105:y:2015:i:3:d:10.1007_s11192-015-1642-2
    DOI: 10.1007/s11192-015-1642-2
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    References listed on IDEAS

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    Cited by:

    1. Hamid R. Jamali, 2017. "Copyright compliance and infringement in ResearchGate full-text journal articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 241-254, July.
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    3. Cristòfol Rovira & Lluís Codina & Frederic Guerrero-Solé & Carlos Lopezosa, 2019. "Ranking by Relevance and Citation Counts, a Comparative Study: Google Scholar, Microsoft Academic, WoS and Scopus," Future Internet, MDPI, vol. 11(9), pages 1-21, September.
    4. Martín-Martín, Alberto & Costas, Rodrigo & van Leeuwen, Thed & Delgado López-Cózar, Emilio, 2018. "Evidence of open access of scientific publications in Google Scholar: A large-scale analysis," Journal of Informetrics, Elsevier, vol. 12(3), pages 819-841.
    5. Cristòfol Rovira & Lluís Codina & Carlos Lopezosa, 2021. "Language Bias in the Google Scholar Ranking Algorithm," Future Internet, MDPI, vol. 13(2), pages 1-17, January.
    6. Sergio Copiello, 2019. "The open access citation premium may depend on the openness and inclusiveness of the indexing database, but the relationship is controversial because it is ambiguous where the open access boundary lie," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 995-1018, November.
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    8. Sergio Copiello & Pietro Bonifaci, 2018. "A few remarks on ResearchGate score and academic reputation," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 301-306, January.
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    10. Vivek Kumar Singh & Satya Swarup Srichandan & Hiran H. Lathabai, 2022. "ResearchGate and Google Scholar: how much do they differ in publications, citations and different metrics and why?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1515-1542, March.
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    12. Halevi, Gali & Moed, Henk & Bar-Ilan, Judit, 2017. "Suitability of Google Scholar as a source of scientific information and as a source of data for scientific evaluation—Review of the Literature," Journal of Informetrics, Elsevier, vol. 11(3), pages 823-834.
    13. Mikael Laakso & Juho Lindman, 2016. "Journal copyright restrictions and actual open access availability: a study of articles published in eight top information systems journals (2010–2014)," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1167-1189, November.
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