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Get JCR metrics

Source: R/wos_jcr.R
get_jcr.Rd

get_jcr() combines document indexes with their source JCR metrics per year.

get_jcr_cat() combines document indexes with their source JCR metrics per year and WoS category.

Usage

get_jcr(db, filter)

get_jcr_cat(db, filter, best = TRUE)

Arguments

db

a bibliographic database with JCR information (a wos.jcr object; typically the output of the function add_jcr()).

filter

vector of document identifiers (usually a result of get_id_docs()).

best

logical; if TRUE (default), only the results for the WoS category with the best ranking for each document are returned.

Value

A data.frame with document indexes and their source JCR metrics.

See also

add_jcr(), db_jcr(), db_bib().

Examples

head(get_jcr(dbjcr))
#>   idd ids   PY   JIF   IMM  CHL   JIF5     JEF     JEFN   JAI
#> 1   1   1 2021 1.673 0.165  4.9 11.808 0.01332  2.86423 4.500
#> 2   2   2 2018 2.896 1.169  4.7  2.344 0.00585  0.69599 0.707
#> 3   3   3 2023 2.300 0.900  1.9  2.200 0.03686  8.10075 0.374
#> 4   4   4 2023 4.400 1.000  3.2  3.600 0.00847  1.86316 0.691
#> 5   5   5 2023 4.400 1.000 10.0  7.600 0.12386 27.21696 3.056
#> 6   6   6 2023 1.200 0.200  7.7  2.200 0.00235  0.51687 1.225
head(get_jcr_cat(dbjcr, best = TRUE))
#>   idd ids   PY idc       WCR JIFQ     JIFP   WE WCP WCT
#> 1   1   1 2021  46 0.1351351   Q4 13.84000 SCIE  97 112
#> 2   2   2 2018  46 0.6571429   Q2 65.56604 SCIE  37 106
#> 3   3   3 2023 148 0.9591002   Q1 95.80000 SCIE  21 490
#> 4   4   4 2023  46 0.7810651   Q1 77.90000 SCIE  38 170
#> 5   5   5 2023  26 0.7861272   Q1 78.40000 SCIE  38 174
#> 6   6   6 2023 237 0.5628743   Q2 56.30000 SCIE  74 168