Abstract
In recent years, different bibliometric methods and indicators, data mining techniques, and collection and visualization tools have been presented to analyze publication patterns and citations of scientific production. Moreover, some criteria and strategies for acquiring bibliographic databases allow forming a knowledge base for decision-making. Unfortunately, these data, methods, and tools are scattered in the literature. In this context, the objective of this article is to determine if the discovery of publication and citation patterns is being used to analyze scientific production in university libraries that helps decision-making on the subscription/acquisition of bibliographic databases. Fink’s methodology was applied in conjunction with the PICO structure for the literature review. This systematic review made it possible to compile relevant information from 167 articles published during the 2016–2020 period into a findings matrix and perform a metadata and content analysis. Among the study’s primary results, it stands out that the analysis of citations, the number of citations, and the VOSviewer collection and visualization tool have been the most outstanding for the study of scientific production. However, it has not had a significant impact as an aid to the acquisition/subscription of bibliographic databases.
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This research was funded by the Vice-Rector’s Office for Research of the University of Cuenca.
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Appendix A – Full List of References Retrieved in the Literature Review from Scopus and Scielo
Appendix A – Full List of References Retrieved in the Literature Review from Scopus and Scielo
The list of sources used in the literature review can be found online at https://n9.cl/ctdhg.
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Landivar, T., Rendon, R., Siguenza-Guzman, L. (2022). Decision-Making of the University Libraries’ Digital Collection Through the Publication and Citation Patterns Analysis. A Literature Review. In: Botto-Tobar, M., Montes León, S., Torres-Carrión, P., Zambrano Vizuete, M., Durakovic, B. (eds) Applied Technologies. ICAT 2021. Communications in Computer and Information Science, vol 1535. Springer, Cham. https://doi.org/10.1007/978-3-031-03884-6_6
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