siie (version 0.4.0)

prp: Calculation of Paper Rank Percentile (PRP)

Description

Paper rank percentile refers to the journals' average ranking of papers within the field. If Journal A has a PRP of 90, it means the papers in Journal A has an average ranking of 90 out of 100. This metric could be extended to measure other entities such as institutes and countries.

Usage

prp(df, group, index)

Value

A data.table with 3 columns, with the group, total number in the group (total_no) and PRP.

Arguments

df

A data.frame containing at least two columns (namely the group and the index of each individual).

group

The group avariable. In the context of our paper, this could be the name or ISSN of a journal.

index

The indicator of individuals. In the context of our paper, this could be citation index of papers.

References

Huang, TY., Yang, L. Superior identification index: Quantifying the capability of academic journals to recognize good research. Scientometrics 127, 4023–4043 (2022). https://doi.org/10.1007/s11192-022-04372-z

Examples

 set.seed(19960822)
 nr_of_rows = 1e4
 data.frame(
   Id = 1:1e4,
   Journal = sample(LETTERS,nr_of_rows,replace = TRUE),
   CiteCount = sample(1:100,nr_of_rows,replace = TRUE)
 ) -> journal_table

 prp(journal_table,group = "Journal",index = "CiteCount")