psjournals

Description

This is an R data package on political science journals, with article types being the unit of observation. It comes with an R Shiny app designed to filter the data, to facilitate exploring journals and their article types for manuscript submission.

The package is based on data from a comprehensive, but not exhaustive, list of political science journals.¹ At the same time, the dataset might include journals that do not unambiguously belong to the discipline of political science. Some data points may be inaccurate as well, and others may become inaccurate over time. Consult journal websites for the most accurate information.

Installation

# install
devtools::install_github("resulumit/psjournals")

# load
library(psjournals)

# view
View(psjournals)

Application

An application of the package is live at https://resulumit.shinyapps.io/psjournals.

Variables

journal_id: integer — id number of the journal

journal: character — name of the journal²

ssci_rank: integer — Web of Science's SSCI index (in the field of political science) of the journal, based on the 2-year Journal Impact Factor 2018³

h5_index: integer — Google Scholar's H5 Index of the journal, based on the articles published in 2014--2018

h5_median: integer — Google Scholar's H5 Index of the journal, based on the articles published in 2014--2018

since: integer — year of establishment of the journal

publisher: character — publisher of the journal

url: character — URL link to the journal website

scope: character — scope of the journal

type_id: integer — id number of the article type, by each journal

type_category: character — category of the article type

type: character — name of the article type, as defined by the journal

lower_limit: character — lower (character/word/page) limit of the format

upper_limit: character — upper (character/word/page) limit of the format

limit_unit: character — unit of the type limits (character/word/page)

last_updated: date — the date when each observation was last updated, in the "YYYY-MM-DD" format

Issues

Any issues with the data, package, and/or app can be reported at https://github.com/resulumit/psjournals/issues.

Citation

Umit, Resul, 2022, "psjournals: An R data package on political science journals", https://doi.org/10.7910/DVN/UENCQA, Harvard Dataverse, V1.

Notes

1: The dataset includes 652 observations from 306 journals.

2: The initial list of journals has been put together from lists at apsa.org (see here and here) and wikipedia.org (see here and here).

3: In practice, this variable comes from ooir.org. See here.