Uncovering the Path from Mendeley Readership to Citations - - PowerPoint PPT Presentation

Uncovering the Path from Mendeley Readership to Citations - Work-in-progress - Fereshteh Didegah * – Juan Pablo Alperin – Rodrigo Costas * f.didegah@ubc.ca Altmetrics18 Workshop – London, UK – 25 September 2018

Bac ackg kground • Weak to moderate correlations between Mendeley saves and citation counts of research articles (Costas, Zahedi, & Wouters, 2014; Thelwall, Haustein, Larivière, & Sugimoto, 2013) • Most relevant to current study: 85% of the users saved the articles to their libraries with a tendency to cite them in their publications (Mohammadi, Thelwall & Kousha, 2016) Uncovering the Path from Mendeley Readership to Citations

Ai Aims and objectives • To technically investigate the extent to which Mendeley users cite the saved articles from their libraries in their publications through matching Mendeley user profiles with Scopus author profiles. • To find a mechanism to understand how scholars use Mendeley in their workflows. • To examine whether there is a direct pathway between saving articles in a library to citing them in future publications. Uncovering the Path from Mendeley Readership to Citations

Data ta & & method Web of Science: • Articles from 3 journals: Scientometrics , Journal of Informetrics and Journal of the Association for Information Science and Technology • Published in 2012 • 452 articles with DOIs • 5,053 unique citing authors, citing the 452 articles between 2012-2016 (Authors’ information including first name, last name, institutional affiliation, discipline) • Author profiles were matched with Scopus to retrieve their Scopus IDs Uncovering the Path from Mendeley Readership to Citations

Data ta & & method Mendeley: • 5,019 users (profile IDs) saved the articles to their Mendeley library between 2012-2016. • The profile IDs were searched through Mendeley API to get users’ information (including first name, last name, institutional affiliation, discipline, Scopus ID and ORCID number). • The Mendeley users were matched with the citing authors for each article first via systematic matching of Scopus IDs and then through matching first names, last names and institutional affiliations, which was carried out manually. Uncovering the Path from Mendeley Readership to Citations

How m many us user ers c s cited ed a articles i es in t n thei heir publ publications? s? Through matching the Scopus IDs via Scopus and also matching first names and last names of citing authors (5,053 authors) with the Mendeley users (5,019 users), only 270 users (~5%) were identified in the list of citing authors, citing at least one of the articles they saved to their libraries. Uncovering the Path from Mendeley Readership to Citations

The 270 matched scholars: Multi tidisciplinary a approach - Saved 8,182 unique DOIs to their libraries (from 132 fields) Cited articles % Saved articles % - Cited 623 unique DOIs (from 52 fields) Information Science & Library 63.57 Management 17.08 Science A stronger disciplinary focus in Information Science & Library Management 7.06 9.16 citing publications while more Science disperse range of fields when it General Biomedical Research 6.1 General Biomedical Research 7.15 comes to save publications in Computers 3.7 Computers 4.95 their libraries Science studies 1.6 Cancer 4.69 Sociology 1.29 Economics 3.43 General Psychology 1.28 General Physics 2.98 General Biology 1.12 Ecology 2.97 Biochemistry & Molecular Communication 1.12 2.07 Biology Electrical Engineering & 0.96 Sociology 1.9 Electronics Uncovering the Path from Mendeley Readership to Citations

Concluding ng r remarks • Technically, only ~5% of Mendeley scholars cited their saved library documents in their publications while 85% scholars surveyed by Mohammadi, Thelwall & Kousha (2016) intended to cite the saved documents later. • Scholars saving behaviour differs from their citing behaviour according to different features. • Future work: to explore a larger dataset and compare saving vs. citing behavior across a range of years and various subject domains. Uncovering the Path from Mendeley Readership to Citations

THANK YOU! Fereshteh Didegah * – Juan Pablo Alperin – Rodrigo Costas * f.didegah@ubc.ca Altmetrics18 Workshop – London, UK – 25 September 2018

Other r characteri risti tics Features Saved articles Cited articles Highly cited 26% 17% Self-citation 49% 54% Co-author credit 32% 51% Uncovering the Path from Mendeley Readership to Citations