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Dot-science top level domain: Academic websites or dumpsites?

Author

Listed:
  • Enrique Orduña-Malea

    (Universitat Politècnica de València)

Abstract

Dot-science was launched in 2015 as a new academic top-level domain aimed to provide ‘a dedicated, easily accessible location for global Internet users with an interest in science’. The main objective of this work is to find out the general scholarly usage of this top-level domain. In particular, the following three questions are pursued: usage (number of web domains registered with the dot-science), purpose (main function and category of websites linked to these web domains), and impact (websites’ visibility and authority). To do this, 13,900 domain names were gathered through ICANN’s Domain Name Registration Data Lookup database. Each web domain was subsequently categorized, and data on web impact were obtained from Majestic’s API. Based on the results obtained, it is concluded that the dot-science top-level domain is scarcely adopted by the academic community, and mainly used by registrar companies for reselling purposes (35.5% of all web domains were parked). Websites receiving the highest number of backlinks were generally related to non-academic websites applying intensive link building practices and offering leisure or even fraudulent contents. Majestic’s trust flow metric has been proved an effective method to filter reputable academic websites. As regards primary academic-related dot-science web domain categories, 1175 (8.5% of all web domains registered) were found, mainly personal academic websites (342 web domains), blogs (261) and research groups (133). All dubious content reveals bad practices on the Web, where the tag ‘science’ is fundamentally used as a mechanism to deceive search engine algorithms.

Suggested Citation

  • Enrique Orduña-Malea, 2021. "Dot-science top level domain: Academic websites or dumpsites?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3565-3591, April.
  • Handle: RePEc:spr:scient:v:126:y:2021:i:4:d:10.1007_s11192-020-03832-8
    DOI: 10.1007/s11192-020-03832-8
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    References listed on IDEAS

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    1. Mike Thelwall, 2012. "Journal impact evaluation: a webometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 429-441, August.
    2. Mike Thelwall & Pardeep Sud & David Wilkinson, 2012. "Link and co‐inlink network diagrams with URL citations or title mentions," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(4), pages 805-816, April.
    3. Xuemei Li & Mike Thelwall & David Wilkinson & Peter Musgrove, 2005. "National and international university departmental Web site interlinking," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(2), pages 151-185, August.
    4. Franz Barjak & Xuemei Li & Mike Thelwall, 2007. "Which factors explain the Web impact of scientists' personal homepages?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(2), pages 200-211, January.
    5. Mike Thelwall & Pardeep Sud, 2011. "A comparison of methods for collecting web citation data for academic organizations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(8), pages 1488-1497, August.
    6. Liwen Vaughan & Mike Thelwall, 2003. "Scholarly use of the Web: What are the key inducers of links to journal Web sites?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(1), pages 29-38, January.
    7. Xuemei Li & Mike Thelwall & David Wilkinson & Peter Musgrove, 2005. "National and international university departmental Web site interlinking," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(2), pages 187-208, August.
    8. Judit Bar-Ilan, 2001. "Data collection methods on the Web for infometric purposes — A review and analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(1), pages 7-32, January.
    9. Isidro F. Aguillo & José L. Ortega & Mario Fernández & Ana M. Utrilla, 2010. "Indicators for a webometric ranking of open access repositories," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 477-486, March.
    10. Nigel Payne & Mike Thelwall, 2007. "A longitudinal study of academic webs: Growth and stabilisation," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 523-539, June.
    11. Kousha, Kayvan & Thelwall, Mike & Rezaie, Somayeh, 2010. "Using the Web for research evaluation: The Integrated Online Impact indicator," Journal of Informetrics, Elsevier, vol. 4(1), pages 124-135.
    12. Mike Thelwall, 2006. "Interpreting social science link analysis research: A theoretical framework," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(1), pages 60-68, January.
    13. Johan Bollen & Herbert Van de Sompel, 2008. "Usage impact factor: The effects of sample characteristics on usage‐based impact metrics," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(1), pages 136-149, January.
    14. Liwen Vaughan & Esteban Romero-Frías, 2014. "Web search volume as a predictor of academic fame: An exploration of Google trends," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 707-720, April.
    15. Mike Thelwall, 2002. "Conceptualizing documentation on the Web: An evaluation of different heuristic‐based models for counting links between university Web sites," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(12), pages 995-1005, October.
    16. Isidro F. Aguillo & Begoña Granadino & José L. Ortega & José A. Prieto, 2006. "Scientific research activity and communication measured with cybermetrics indicators," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(10), pages 1296-1302, August.
    17. Johan Bollen & Herbert Van de Sompel & Aric Hagberg & Ryan Chute, 2009. "A Principal Component Analysis of 39 Scientific Impact Measures," PLOS ONE, Public Library of Science, vol. 4(6), pages 1-11, June.
    18. Franz Barjak, 2006. "The role of the Internet in informal scholarly communication," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(10), pages 1350-1367, August.
    19. Mike Thelwall & Pardeep Sud, 2011. "A comparison of methods for collecting web citation data for academic organizations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(8), pages 1488-1497, August.
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