RT Generic
T1 Software tools for conducting bibliometric analysis in science: An up-to-date review
A1 Moral-Munoz, Jose A.
A1 Herrera-Viedma, Enrique
A1 Santisteban-Espejo, Antonio
A1 Cobo, Manuel J.
K1 Bibliometrics
K1 Scientometrics
K1 Science mapping analysis
K1 Tools
K1 Bibliographic databases
K1 Performance analysis
K1 Software
K1 Libraries
K1 R-package
K1 Python-package
AB Bibliometrics has become an essential tool for assessing and analyzing the output of scientists, cooperation between universities, the effect of state-owned science funding on national research and development performance and educational efficiency, among other applications. Therefore, professionals and scientists need a range of theoretical and practical tools to measure experimental data. This review aims to provide an up-to-date review of the various tools available for conducting bibliometric and scientometric analyses, including the sources of data acquisition, performance analysis and visualization tools. The included tools were divided into three categories: general bibliometric and performance analysis, science mapping analysis, and libraries; a description of all of them is provided. A comparative analysis of the database sources support, pre-processing capabilities, analysis and visualization options were also provided in order to facilitate its understanding. Although there are numerous bibliometric databases to obtain data for bibliometric and scientometric analysis, they have been developed for a different purpose. The number of exportable records is between 500 and 50,000 and the coverage of the different science fields is unequal in each database. Concerning the analyzed tools, Bibliometrix contains the more extensive set of techniques and suitable for practitioners through Biblioshiny. VOSviewer has a fantastic visualization and is capable of loading and exporting information from many sources. SciMAT is the tool with a powerful pre-processing and export capability. In views of the variability of features, the users need to decide the desired analysis output and chose the option that better fits into their aims.
PB Ediciones Profesionales de la Informacion
SN 1386-6710
YR 2019
FD 2019-12-15
LK http://hdl.handle.net/10668/19210
UL http://hdl.handle.net/10668/19210
LA en
NO Moral-Muñoz JA, Herrera-Viedma E, Santisteban-Espejo A, Cobo MJ. Software tools for conducting bibliometric analysis in science: An up-to-date review. El Profesional de la Informacion [Internet]. 19 de enero de 2020;29(1)
DS RISalud
RD Apr 8, 2025