Tree of Science with Scopus: A Shiny Application




Tree of Science (ToS) is a scientific literature search tool that produces a small, selected list of citations from a larger pool of citations. Initially developed for searches in the Web of Science, this paper shows how to use it with bibliographic data from Scopus. This new Shiny web application analyzes data from Scopus. It processes a dataset from a Scopus search and creates three reports. The first one shows a descriptive analysis, the second one presents the Tree of Science of the search, and the third one presents a clustering analysis of the three main subtopics. The application is accessible from this link:


Download data is not yet available.


Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.

Arumugaperumal, A., Velayudhan Krishna, D., Alaguponniah, S., Nallaperumal, K., & Sivasubramaniam, S. (2022). PeptCreatR: A web app for unique peptides in human. International Journal of Peptide Research and Therapeutics, 28(2), 64.

Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics, 2008(10), P10008.

Chang, W., Cheng, J., Allaire, J., Xie, Y., & McPherson, J. (2017). Shiny: Web application framework for R (R Package Version 1.5) [Computer software]. R Studio.

Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359–377.

Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2012). SciMAT: A new science mapping analysis software tool. Journal of the American Society for Information Science and Technology, 63(8), 1609–1630.

Duque, P., Meza, O. E., Giraldo, D., & Barreto, K. (2021). Economía social y economía solidaria: Un análisis bibliométrico y revisión de literatura. REVESCO. Revista de Estudios Cooperativos, 138, e75566–e75566.

Durán-Aranguren, D. D., Robledo, S., Gomez-Restrepo, E., Arboleda Valencia, J. W., & Tarazona, N. A. (2021). Scientometric overview of coffee by-products and their applications. Molecules, 26(24), 7605.

Egghe, L. (2006). Theory and practise of the g-index. Scientometrics, 69(1), 131–152.

Evans, J. A., & Foster, J. G. (2011). Metaknowledge. Science, 331(6018), 721–725.

Garfield, E. (1955). Citation indexes for science. Science, 122(3159), 108–111.

Gonzalez-Correa, C.-A., Tapasco-Tapasco, L.-O., & Gomez-Buitrago, P.-A. (2002). A method for a literature search on microbiota and obesity for PhD biomedical research using the Web of Science (WoS) and the Tree of Science (ToS). Issues in Science and Technology Librarianship, 99.

Grames, E. M., Stillman, A. N., Tingley, M. W., & Elphick, C. S. (2019). An automated approach to identifying search terms for systematic reviews using keyword co-occurrence networks. Methods in Ecology and Evolution, 10, 1645–1654.

Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569–16572.

Nicolosi Gelis, M. M., Sathicq, M. B., Jupke, J., & Cochero, J. (2022). DiaThor: R package for computing diatom metrics and biotic indices. Ecological Modelling, 465, 109859.

Pornprasit, C., Liu, X., Kiattipadungkul, P., Kertkeidkachorn, N., Kim, K.-S., Noraset, T., Hassan, S.-U., & Tuarob, S. (2022). Enhancing citation recommendation using citation network embedding. Scientometrics, 127(1), 233–264.

Robledo, S., Grisales Aguirre, A. M., Hughes, M., & Eggers, F. (2021). “Hasta la vista, baby” – will machine learning terminate human literature reviews in entrepreneurship? Journal of Small Business Management, 1–30.

Ruiz-Rosero, J., Ramirez-Gonzalez, G., & Viveros-Delgado, J. (2019). Software survey: ScientoPy, a scientometric tool for topics trend analysis in scientific publications. Scientometrics, 121(2), 1165–1188.

Valencia-Hernandez, D. S., Robledo, S., Pinilla, R., Duque-Méndez, N. D., & Olivar-Tost, G. (2020). SAP algorithm for citation analysis: An improvement to Tree of Science. Ingeniería E Investigación, 40(1), 45–49.

van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.

Wickham, H. (2021). Mastering shiny: Build interactive apps, reports, and dashboards powered by R. O’Reilly.




How to Cite

Robledo, S., Zuluaga, M., Valencia-Hernandez, L.-A., Arbelaez-Echeverri, O. A.-E., Duque, P., & Alzate-Cardona, J.-D. . (2022). Tree of Science with Scopus: A Shiny Application. Issues in Science and Technology Librarianship, (100).



There's an App for That
Share |

Most read articles by the same author(s)