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Introducing the ‘alt-index’ for measuring the social visibility of scientific research

Author

Listed:
  • Saeed-Ul Hassan

    (Information Technology University)

  • Sehrish Iqbal

    (Information Technology University)

  • Naif R. Aljohani

    (King Abdulaziz University)

  • Salem Alelyani

    (King Khalid University
    King Khalid University)

  • Alesia Zuccala

    (University of Copenhagen)

Abstract

We propose a new metric called ‘alt-index’, which is analagous to the h-index, but uses altmetrics data to measure both the volume and social media activity of scientific literature. The dataset includes over 1.1 million papers and their associated altmetrics score. A correlation analysis of the h-index and alt-index is conducted at three different levels: field level, source (journal) level, and author level. Our results show a strong positive correlation between the two indexes across all levels. We conclude that the alt-index can be adopted to measure the social activity of publications in situations where there is agreement amongst various social media channels.

Suggested Citation

  • Saeed-Ul Hassan & Sehrish Iqbal & Naif R. Aljohani & Salem Alelyani & Alesia Zuccala, 2020. "Introducing the ‘alt-index’ for measuring the social visibility of scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1407-1419, June.
    • Handle: RePEc:spr:scient:v:123:y:2020:i:3:d:10.1007_s11192-020-03447-z
    DOI: 10.1007/s11192-020-03447-z
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    1. Roberta Kwok, 2013. "Research impact: Altmetrics make their mark," Nature, Nature, vol. 500(7463), pages 491-493, August.
    2. Andrea Giovanni Nuzzolese & Paolo Ciancarini & Aldo Gangemi & Silvio Peroni & Francesco Poggi & Valentina Presutti, 2019. "Do altmetrics work for assessing research quality?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 539-562, February.
    3. Christine Meschede & Tobias Siebenlist, 2018. "Cross-metric compatability and inconsistencies of altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 283-297, April.
    4. Haddawy, Peter & Hassan, Saeed-Ul & Abbey, Craig W. & Lee, Inn Beng, 2017. "Uncovering fine-grained research excellence: The global research benchmarking system," Journal of Informetrics, Elsevier, vol. 11(2), pages 389-406.
    5. Lutz Bornmann & Rüdiger Mutz & Hans‐Dieter Daniel, 2008. "Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(5), pages 830-837, March.
    6. repec:pal:palcom:v:2016:y:2016:i:palcomms201657:p:16057- is not listed on IDEAS
    7. Heather Piwowar, 2013. "Value all research products," Nature, Nature, vol. 493(7431), pages 159-159, January.
    8. Rafael Repiso & Antonio Castillo-Esparcia & Daniel Torres-Salinas, 2019. "Altmetrics, alternative indicators for Web of Science Communication studies journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 941-958, May.
    9. Stacy Konkiel, 2016. "Altmetrics: diversifying the understanding of influential scholarship," Palgrave Communications, Palgrave Macmillan, vol. 2(1), pages 1-7, December.
    10. Haustein, Stefanie & Siebenlist, Tobias, 2011. "Applying social bookmarking data to evaluate journal usage," Journal of Informetrics, Elsevier, vol. 5(3), pages 446-457.
    11. Burrell, Quentin L., 2007. "On the h-index, the size of the Hirsch core and Jin's A-index," Journal of Informetrics, Elsevier, vol. 1(2), pages 170-177.
    12. Stefanie Haustein & Timothy D. Bowman & Kim Holmberg & Andrew Tsou & Cassidy R. Sugimoto & Vincent Larivière, 2016. "Tweets as impact indicators: Examining the implications of automated “bot” accounts on Twitter," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(1), pages 232-238, January.
    13. J. C. F. Winter, 2015. "The relationship between tweets, citations, and article views for PLOS ONE articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1773-1779, February.
    14. Saeed-Ul Hassan & Mubashir Imran & Uzair Gillani & Naif Radi Aljohani & Timothy D. Bowman & Fereshteh Didegah, 2017. "Measuring social media activity of scientific literature: an exhaustive comparison of scopus and novel altmetrics big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1037-1057, November.
    15. Xi Zhang & Xianhai Wang & Hongke Zhao & Patricia Ordóñez de Pablos & Yongqiang Sun & Hui Xiong, 2019. "An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1311-1344, June.
    16. Tibor Braun & Wolfgang Glänzel & András Schubert, 2006. "A Hirsch-type index for journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 169-173, October.
    17. Stefanie Haustein & Isabella Peters & Cassidy R. Sugimoto & Mike Thelwall & Vincent Larivière, 2014. "Tweeting biomedicine: An analysis of tweets and citations in the biomedical literature," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 656-669, April.
    18. Kousha, Kayvan & Thelwall, Mike, 2019. "Can Google Scholar and Mendeley help to assess the scholarly impacts of dissertations?," Journal of Informetrics, Elsevier, vol. 13(2), pages 467-484.
    19. Rodrigo Costas & Zohreh Zahedi & Paul Wouters, 2015. "Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 2003-2019, October.
    20. Anwar Said & Timothy D. Bowman & Rabeeh Ayaz Abbasi & Naif Radi Aljohani & Saeed-Ul Hassan & Raheel Nawaz, 2019. "Mining network-level properties of Twitter altmetrics data," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 217-235, July.
    21. J. E. Hirsch, 2019. "hα: An index to quantify an individual’s scientific leadership," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 673-686, February.
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