| prp {siie} | R Documentation |
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)
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. |
Value
A data.table with 3 columns, with the group, total number in the group (total_no) and PRP.
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")