IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v115y2018i2d10.1007_s11192-018-2704-z.html
   My bibliography  Save this article

Can Microsoft Academic be used for citation analysis of preprint archives? The case of the Social Science Research Network

Author

Listed:
  • Michael Thelwall

    () (University of Wolverhampton)

Abstract

Abstract Preprint archives play an important scholarly communication role within some fields. The impact of archives and individual preprints are difficult to analyse because online repositories are not indexed by the Web of Science or Scopus. In response, this article assesses whether the new Microsoft Academic can be used for citation analysis of preprint archives, focusing on the Social Science Research Network (SSRN). Although Microsoft Academic seems to index SSRN comprehensively, it groups a small fraction of SSRN papers into an easily retrievable set that has variations in character over time, making any field normalisation or citation comparisons untrustworthy. A brief parallel analysis of arXiv suggests that similar results would occur for other online repositories. Systematic analyses of preprint archives are nevertheless possible with Microsoft Academic when complete lists of archive publications are available from other sources because of its promising coverage and citation results.

Suggested Citation

  • Michael Thelwall, 2018. "Can Microsoft Academic be used for citation analysis of preprint archives? The case of the Social Science Research Network," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 913-928, May.
  • Handle: RePEc:spr:scient:v:115:y:2018:i:2:d:10.1007_s11192-018-2704-z
    DOI: 10.1007/s11192-018-2704-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-018-2704-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Christian Zimmermann, 2013. "Academic Rankings with RePEc," Econometrics, MDPI, Open Access Journal, vol. 1(3), pages 1-32, December.
    2. Mike Thelwall, 2018. "Does Microsoft Academic find early citations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 325-334, January.
    3. Emilio Delgado López-Cózar & Nicolás Robinson-García & Daniel Torres-Salinas, 2014. "The Google scholar experiment: How to index false papers and manipulate bibliometric indicators," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(3), pages 446-454, March.
    4. Philip M. Davis & Michael J. Fromerth, 2007. "Does the arXiv lead to higher citations and reduced publisher downloads for mathematics articles?," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(2), pages 203-215, May.
    5. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, Oxford University Press, vol. 108(3), pages 577-598.
    6. Jevin D. West & Michael C. Jensen & Ralph J. Dandrea & Gregory J. Gordon & Carl T. Bergstrom, 2013. "Author-level Eigenfactor metrics: Evaluating the influence of authors, institutions, and countries within the social science research network community," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(4), pages 787-801, April.
    7. Michel Zitt, 2012. "The journal impact factor: angel, devil, or scapegoat? A comment on J.K. Vanclay’s article 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 485-503, August.
    8. Thed N. van Leeuwen & Clara Calero Medina, 2012. "Redefining the field of economics: Improving field normalization for the application of bibliometric techniques in the field of economics," Research Evaluation, Oxford University Press, vol. 21(1), pages 61-70, February.
    9. 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.
    10. Sven E. Hug & Martin P. Brändle, 2017. "The coverage of Microsoft Academic: analyzing the publication output of a university," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1551-1571, December.
    11. Thelwall, Mike, 2018. "Microsoft Academic automatic document searches: Accuracy for journal articles and suitability for citation analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 1-9.
    12. Mike Thelwall & Pardeep Sud, 2016. "Mendeley readership counts: An investigation of temporal and disciplinary differences," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(12), pages 3036-3050, December.
    13. Thelwall, Mike, 2017. "Microsoft Academic: A multidisciplinary comparison of citation counts with Scopus and Mendeley for 29 journals," Journal of Informetrics, Elsevier, vol. 11(4), pages 1201-1212.
    14. Anne-Wil Harzing, 2016. "Microsoft Academic (Search): a Phoenix arisen from the ashes?," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1637-1647, September.
    15. 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.
    16. Ehsan Mohammadi & Mike Thelwall & Kayvan Kousha, 2016. "Can Mendeley bookmarks reflect readership? A survey of user motivations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1198-1209, May.
    17. Anne-Wil Harzing & Satu Alakangas, 2017. "Microsoft Academic: is the phoenix getting wings?," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 371-383, January.
    18. Mike Thelwall & Paul Wilson, 2016. "Mendeley readership altmetrics for medical articles: An analysis of 45 fields," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(8), pages 1962-1972, August.
    19. Brown, Lawrence D, 2003. "Ranking Journals Using Social Science Research Network Downloads," Review of Quantitative Finance and Accounting, Springer, vol. 20(3), pages 291-307, May.
    20. Mike Thelwall, 2017. "Are Mendeley reader counts useful impact indicators in all fields?," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1721-1731, December.
    21. Pardeep Sud & Mike Thelwall, 2014. "Evaluating altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1131-1143, February.
    22. Zohreh Zahedi & Rodrigo Costas & Paul Wouters, 2014. "How well developed are altmetrics? A cross-disciplinary analysis of the presence of ‘alternative metrics’ in scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1491-1513, November.
    23. Anne-Wil Harzing & Satu Alakangas, 2017. "Microsoft Academic is one year old: the Phoenix is ready to leave the nest," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1887-1894, September.
    24. Thelwall, Mike & Fairclough, Ruth, 2015. "Geometric journal impact factors correcting for individual highly cited articles," Journal of Informetrics, Elsevier, vol. 9(2), pages 263-272.
    25. Kousha, Kayvan & Thelwall, Mike & Abdoli, Mahshid, 2018. "Can Microsoft Academic assess the early citation impact of in-press articles? A multi-discipline exploratory analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 287-298.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kousha, Kayvan & Thelwall, Mike, 2018. "Can Microsoft Academic help to assess the citation impact of academic books?," Journal of Informetrics, Elsevier, vol. 12(3), pages 972-984.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:115:y:2018:i:2:d:10.1007_s11192-018-2704-z. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Springer Nature Abstracting and Indexing). General contact details of provider: http://www.springer.com .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.