Artículo

Metric study of information literacy in Latin America: from bibliometrics to altmetrics

Resumen

This study identifies the presence, productivity and influence of Ibero-American authors that write about information literacy (InfoLit). Using bibliometric and altmetric indicators, it seeks to analyze the impact and subsequent use of their scholarly works on social and scientific platforms. Fifty-five authors with the highest productivity were identified, based on the results of bibliometric studies on InfoLit carried out on both an international and Ibero-American scale in searches of major databases as well as publications collected in a Latin American wiki. Subsequently an analysis of bibliometric and altmetric indicators at the author and publication level was carried out, based on the results of searches on eight scientific platforms (Google Scholar, ResearchGate, Academia. edu, Mendeley, ORCID, IraLIS, E-LIS and EXIT), three social networks (Facebook, Twitter and LinkedIn), and data provided by a commercial supplier (Altmetric. com). Overall we found a greater presence of authors in ResearchGate (58%), Academia. edu (51%) and Google Scholar (49%) as opposed to Mendeley (25%) and ORCID (18%). Furthermore, as to social platforms, the greatest potential influence lies with Facebook, due to its high number of followers (/top 10 authors). In addition, an analysis with the Spearman rho statistic, shows among some sources and platforms, a low correlation between the number of citations in Google Scholar and readings in Mendeley (r = 382) and low negative for mentions in blogs (r = 0,-237), Google+ (r = 0, -214) and Twitter (r = 0, -183). In conclusion, both the productivity and the impact-visibility center on specific authors writing about InfoLit, and various measurement resources show that for these authors there is a positive two-way impact from bibliometric to altmetric and vice versa.
Khamisy-Farah, Rola (55808741800); Gilbey, Peter (55980203000); Furstenau, Leonardo B. (57211463471); Sott, Michele Kremer (57218374403); Farah, Raymond (14013894800); Viviani, Maurizio (57231700200); Bisogni, Maurizio (57232852500); Kong, Jude Dzevela (56305065700); Ciliberti, Rosagemma (6507895664); Bragazzi, Nicola Luigi (57212030091)
Big data for biomedical education with a focus on the covid-19 era: An integrative review of the literature
2021
10.3390/ijerph18178989
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113546517&doi=10.3390%2fijerph18178989&partnerID=40&md5=d9dcc718aa0b917324d63a4b1f8d88c9
Clalit Health Service, Akko, Azrieli Faculty of Medicine, Bar-Ilan University, Safed, 13100, Israel; Azrieli Faculty of medicine, Bar Ilan University, Safed, 13100, Israel; Department of Industrial Engineering, Federal University of Rio Grande do Sul, Porto Alegre, 90035-190, Brazil; Business School, Unisinos University, Porto Alegre, 91330-002, Brazil; Department of Internal Medicine B, Ziv Medical Center, Azrieli Faculty of Medicine, Bar-Ilan University, Safed, 13100, Israel; TransHumanGene, MedicaSwiss, Cham, Zug, 6330, Switzerland; Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, Toronto, M3J 1P3, ON, Canada; Section of History of Medicine and Bioethics, Department of Health Sciences (DISSAL), University of Genoa, Genoa, 16132, Italy
All Open Access; Gold Open Access; Green Open Access
Scopus
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