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Author-level metrics in the new academic profile platforms: The online behaviour of the Bibliometrics community

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  • Martín-Martín, Alberto
  • Orduna-Malea, Enrique
  • Delgado López-Cózar, Emilio

Abstract

The new web-based academic communication platforms do not only enable researchers to better advertise their academic outputs, making them more visible than ever before, but they also provide a wide supply of metrics to help authors better understand the impact their work is making. This study has three objectives: a) to analyse the uptake of some of the most popular platforms (Google Scholar Citations, ResearcherID, ResearchGate, Mendeley and Twitter) by a specific scientific community (bibliometrics, scientometrics, informetrics, webometrics, and altmetrics); b) to compare the metrics available from each platform; and c) to determine the meaning of all these new metrics. To do this, the data available in these platforms about a sample of 811 authors (researchers in bibliometrics for whom a public profile Google Scholar Citations was found) were extracted. A total of 31 metrics were analysed. The results show that a high number of the analysed researchers only had a profile in Google Scholar Citations (159), or only in Google Scholar Citations and ResearchGate (142). Lastly, we find two kinds of metrics of online impact. First, metrics related to connectivity (followers), and second, all metrics associated to academic impact. This second group can further be divided into usage metrics (reads, views), and citation metrics. The results suggest that Google Scholar Citations is the source that provides more comprehensive citation-related data, whereas Twitter stands out in connectivity-related metrics.

Suggested Citation

  • Martín-Martín, Alberto & Orduna-Malea, Enrique & Delgado López-Cózar, Emilio, 2018. "Author-level metrics in the new academic profile platforms: The online behaviour of the Bibliometrics community," Journal of Informetrics, Elsevier, vol. 12(2), pages 494-509.
    • Handle: RePEc:eee:infome:v:12:y:2018:i:2:p:494-509
    DOI: 10.1016/j.joi.2018.04.001
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    References listed on IDEAS

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    2. Sergio Copiello, 2019. "Research Interest: another undisclosed (and redundant) algorithm by ResearchGate," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 351-360, July.
    3. Sergio Copiello & Pietro Bonifaci, 2019. "ResearchGate Score, full-text research items, and full-text reads: a follow-up study," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1255-1262, May.
    4. Lepori, Benedetto & Thelwall, Michael & Hoorani, Bareerah Hafeez, 2018. "Which US and European Higher Education Institutions are visible in ResearchGate and what affects their RG score?," Journal of Informetrics, Elsevier, vol. 12(3), pages 806-818.
    5. Ariel Alexi & Teddy Lazebnik & Ariel Rosenfeld, 2024. "The scientometrics and reciprocality underlying co-authorship panels in Google Scholar profiles," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3303-3313, June.
    6. Shannon Mason, 2020. "Adoption and usage of Academic Social Networks: a Japan case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1751-1767, March.
    7. Sergio Copiello, 2020. "Other than detecting impact in advance, alternative metrics could act as early warning signs of retractions: tentative findings of a study into the papers retracted by PLoS ONE," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2449-2469, December.

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