Artículo

A grey zone for bibliometrics: publications indexed in Web of Science as anonymous

Resumen

Publications without authorship information have been indexed as anonymous in the Web of Science database over the years. However, discussions on this subject have not been sufficiently addressed in the scholarly literature. Since bibliometrics studies are widely used for bibliometricians, scientific disciplines, science policy, and management, missing significant data as authorship metadata characterizes a gray zone that directly impacts these three components, and by extension, for bibliometrics and scientometrics. With a data collection performed at Web of Science Core Collection (WoSCC), 1,420,842 documents under “anonymous” authorship from 1900 to 2021 were retrieved, which accounted for 1.5% of the total documents indexed in the WoSCC. The publication data such as yearly growth of research publications, document type, language, productive research areas, and other bibliometric indicators were analyzed. The findings showed that in absolute numbers, a considerable growth of anonymous publications between 1996 and 2009, and there was a downward trend after that. However, this increase has not been proportional to the growth in the total number of publications indexed in the WoSCC. Articles, editorial materials, and news items were the top three document types among the WoSCC-indexed publications as anonymous. This study also finds two main scenarios of indexing publications as anonymous. The first is associated with the historical context of scholarly communication and practices that persist. The second is characterized by indexing persistent problems. This study suggests minimizing the error in databases, enabling an error-free indexing system and accurate bibliometrics studies.
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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