Education, Science, Technology, Innovation and Life
Open Access
Sign In

Biblioshiny-R Application on Bioinformatics Education Research (2004-2023)

Download as PDF

DOI: 10.23977/curtm.2024.070829 | Downloads: 94 | Views: 1319

Author(s)

Fengmei Yang 1, Jinming Gao 1, Xianzhao Kan 1

Affiliation(s)

1 College of Life Sciences, Anhui Normal University, Wuhu, 241000, China

Corresponding Author

Xianzhao Kan

ABSTRACT

Bioinformatics education involves teaching the use of computer methods to solve biological problems. Bibliometrics is the quantitative study of academic literature, such as books, articles, and other publications. Moreover, the R-based package Bibliometrix is written in the R language, and offers many tools for quantitative bibliometric studies. Biblioshiny is a Shiny app providing a web-interface for Bibliometrix. In this study, we employed the Web of Science (WoS) Core Collection as our database and used Biblioshiny as our analysis tool to better understand bioinformatics education. A total of 369 documents from 106 sources between 2004 and 2023 were investigated, with a focus on annual scientific production, top journals, influential affiliations, and keyword trends. The results of this study can provide valuable insights into bioinformatics education. 

KEYWORDS

Bioinformatics teaching, Education, Bibliometric analysis, Biblioshiny

CITE THIS PAPER

Fengmei Yang, Jinming Gao, Xianzhao Kan, Biblioshiny-R Application on Bioinformatics Education Research (2004-2023). Curriculum and Teaching Methodology (2024) Vol. 7: 192-199. DOI: http://dx.doi.org/10.23977/curtm.2024.070829.

REFERENCES

[1] J. B. Hagen (2000) The origins of bioinformatics. Nature Reviews Genetics. 1: 231-236.
[2] A. J. Magana, M. Taleyarkhan, D. R. Alvarado, M. Kane, J. Springer and K. Clase (2014) A Survey of Scholarly Literature Describing the Field of Bioinformatics Education and Bioinformatics Educational Research. CBE-Life Sci. Educ. 13: 607-623.
[3] J. Abramson, J. Adler, J. Dunger, R. Evans, T. Green, A. Pritzel, O. Ronneberger, L. Willmore, A. J. Ballard and J. Bambrick (2024) Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature. 630: 493-500.
[4] M. Baek, F. DiMaio, I. Anishchenko, J. Dauparas, S. Ovchinnikov, G. R. Lee, J. Wang, Q. Cong, L. N. Kinch and R. D. Schaeffer (2021) Accurate prediction of protein structures and interactions using a three-track neural network. Science. 373: 871-876.  
[5] M.-A. Vera-Baceta, M. Thelwall and K. Kousha (2019) Web of Science and Scopus language coverage. Scientometrics. 121: 1803-1813.
[6] M. Visser, N. J. Van Eck and L. Waltman (2021) Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic. Quantitative science studies. 2: 20-41.
[7] M. Aria and C. Cuccurullo (2017) bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of informetrics. 11: 959-975.

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.