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Visualizing readership activity of Mendeley users using VOSviewer

Visualizing readership activity of Mendeley users using VOSviewer. Zohreh Zahedi & Nees Jan van Eck Center for Science and Technology Studies ( CWTS-Leiden University). 23 June 2014. Introduction. Mendeley : one of the most important altmetric tools

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Visualizing readership activity of Mendeley users using VOSviewer

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  1. Visualizing readership activity of Mendeley users using VOSviewer Zohreh Zahedi & Nees Jan van Eck Center for Science and Technology Studies (CWTS-Leiden University) 23 June 2014

  2. Introduction • Mendeley: one of the most important altmetric tools • For publications in Mendeley readerships statistics are available • ‘Type of users’ of the Mendeley readerships are available for readerships & publications • Possibility of different types of impact • Readership habits across types of users • But, with the limitation: Mendeley only reports the 3 ‘top’ frequent types of users per publication

  3. Research questions • What are the differences in readership activity across research fields? • In which fields are Mendeley users most and least active? • What are the fields of interest for the different ‘known’ users? • Are there differences?

  4. Methodology • All 2011 WoS articles & reviews with a DOI • 1,114,776 publications (citations counted up to 2013) • Readerships statistics collected through the REST API • 847,587 (76%) saved in Mendeley • 438,399 (52%) all the readers were known • VOS viewer for overlay visualizations • 250 JCR subject categories • Terms from titles & abstracts

  5. Readerships by subject category Readerships/publication • Areas with higher readerships per publication: • Cell biology • Biomedical sciences • Multidiscisciplinary • Neurosciences • Business & management Readerships/Citation • Readership activity vs. citation activity: • Social Sciences • Humanities

  6. Social sciences & humanities Lit. & pol. science Cognitive psychology General medicine topics Marketing & innovation

  7. Readerships: PhDs vs. Professors (PhDs/all PhDs) (Readerships/all readerships) • Only papers with known users (52%) • PhDs: • Chemistry • Engineering (Prof./all Profs.) (Readerships/all readerships) • Professors: • Mathematics, applied • Political science • Statistics & probability

  8. Conclusions • Mendeley: rich source of altmetric information • Disciplinary differences in readership activity: biomedical sciences, life sciences and social sciences • Differences among ‘Mendeley’ users across disciplines • Future research: understand better these differences • Data problems, distribution of users by fields, genuine content differences, etc.

  9. Thank you very much for your attention! Questions? Comments? z.zahedi.2@cwts.leidenuniv.nl

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