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MDPIexploreR: 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.

Version: 0.2.0
Depends: R (≥ 3.5.0)
Imports: dplyr, ggplot2, lubridate, magrittr, rvest, scales, stringr
Suggests: knitr, rmarkdown
Published: 2024-10-15
DOI: 10.32614/CRAN.package.MDPIexploreR
Author: Pablo Gómez Barreiro ORCID iD [aut, cre]
Maintainer: Pablo Gómez Barreiro <pablogomezbr at hotmail.es>
License: CC BY 4.0
URL: https://pgomba.github.io/MDPI_explorer/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: MDPIexploreR results

Documentation:

Reference manual: MDPIexploreR.pdf
Vignettes: Introduction to 'MDPIexploreR' (source, R code)

Downloads:

Package source: MDPIexploreR_0.2.0.tar.gz
Windows binaries: r-devel: MDPIexploreR_0.2.0.zip, r-release: MDPIexploreR_0.2.0.zip, r-oldrel: MDPIexploreR_0.2.0.zip
macOS binaries: r-release (arm64): MDPIexploreR_0.2.0.tgz, r-oldrel (arm64): MDPIexploreR_0.2.0.tgz, r-release (x86_64): MDPIexploreR_0.2.0.tgz, r-oldrel (x86_64): MDPIexploreR_0.2.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MDPIexploreR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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