siie (version 0.4.0)

siie: Calculation of SII and SIE

Description

Calculate SII (Superior Identification Index) and SIE (Superior Identification Efficiency) for each group with individual values. In the context of the paper, we have citation counts of papers from different journals. This function could calculate SII and SIE for each journal within the field.

Usage

siie(df, group, index, p = 10)

Value

A data.table with 5 columns, with the group, superior number (superior_no), total number in the group (total_no), SII (sii) and SIE (sie).

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.

p

Cutoff of superior. Defaults to 10, meaning top 10 percent individuals are regarded as superior.

Details

In the context, SII indicates how well a journal could identify the top papers (superior research), whereas SIE quantifies the efficiency of a journal to identify the top 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
siie(journal_table,group = "Journal",index = "CiteCount")