David Melero-Fuentes , Remedios Aguilar-Moya , Juan-Carlos Valderrama-Zurián , Juan Gorraiz
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引用次数: 0
Abstract
The purpose of the present study is to analyse the presence and evolution in the last 13 years of the document type “Meeting Abstract” in the database where they are best represented, i.e. in the Web of Science Core Collection. We have also studied in which categories and in which type of journals they have a significant presence.
Frequency analyses of meeting abstracts (absolute and ratios) were performed on years, indexes, categories and topics variables, and the Impact Factor was calculated without the citations obtained by the meeting abstracts.
The results obtained show that in disciplines such as Clinical Medicine, Neuroscience & Behavior. and Biology & Biochemistry, they play a very important role due to both their number and the number of attracted citations, and that they are regularly published in top journals, including Q1 according to the Journal of Citation Reports. Our results also corroborate the hypothesis that they inflate the Impact Factor and therefore are one of the reasons for the high absolute values of this indicator in categories like Oncology and Hematology.
This study is of great relevance for researchers and policymakers, because it helps to identify in which disciplines Meeting Abstracts have relevance and they should be considered for the calculation of indicators in bibliometric practices, and opens the door to research into their relationship with other documentary typologies within the social processes of scientific communication in different sciences.
期刊介绍:
Journal of Informetrics (JOI) publishes rigorous high-quality research on quantitative aspects of information science. The main focus of the journal is on topics in bibliometrics, scientometrics, webometrics, patentometrics, altmetrics and research evaluation. Contributions studying informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, economics and econometrics, and network science, are especially encouraged. JOI publishes both theoretical and empirical work. In general, case studies, for instance a bibliometric analysis focusing on a specific research field or a specific country, are not considered suitable for publication in JOI, unless they contain innovative methodological elements.