Web Scraping and Bibliometric Analysis of MDPI Journals

Provides comprehensive tools to scrape and analyze data from the MDPI journals. It allows users to extract metrics such as submission-to-acceptance times, article types, and whether articles are part of special issues. The package can also visualize this information through plots. Additionally, 'MDPIexploreR' offers tools to explore patterns of self-citations within articles and provides insights into guest-edited special issues.

MDPIexploreR

Welcome to the wonders of MDPIexploreR, an R package created to provide comprehensive tools to scrape and analyze data from the MDPI journals. It allows users to extract metrics such as submission-to-acceptance times, article types, and whether articles are part of special issues. The package can also visualize this information through plots. Additionally, MDPIexploreR offers tools to explore patterns of self-citations within articles and provides insights into guest-edited special issues.

Installation

You can install and load MDPIexploreR CRAN version with:

install.packages("MDPIexploreR")
library(MDPIexploreR)

or try the latest Github version with:

devtools::install_github("pgomba/MDPI_explorer")
library(MDPIexploreR)

Citation

If you use MDPIexploreR in a publication or report, please cite it. Find the correct citation here or running this code:

citation("MDPIexploreR")

Head to Introduction to MDPIexploreR to get a glimpse of the functionalities of MDPIexploreR: