BibeR: A Web-based tool for bibliometric analysis in scientific literature
- Published
- Accepted
- Subject Areas
- Digital Libraries, Graphics, Visual Analytics
- Keywords
- scientometrics, R, web app, workflow, BibeR, shiny, packages, bibliometrics
- Copyright
- © 2016 Liu et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2016. BibeR: A Web-based tool for bibliometric analysis in scientific literature. PeerJ Preprints 4:e1879v1 https://doi.org/10.7287/peerj.preprints.1879v1
Abstract
Bibliometric analysis is a statistical method to summarize the amount of scientific activity in a domain. Insights can be derived from bibliometrics to understand the development trend of the research domain. R is an open sourced programming language specialized for statistical computing and graphic visualization. To benefit from the convenience of R and the outcome of bibliometric analysis, we here introduce BibeR, a web-based application for the visualization of bibliometric analysis. An example of bibliometric analysis on the articles published in journal Scientometrics is used to illustrate the usage of BibeR. The development of BibeR is still in progress, and future possibly improvements on BibeR are discussed.
Author Comment
This work is intended to submit to the journal PeerJ Computer Science.