Counts how many times each document is cited by other documents within the dataset.
Arguments
- data
A data frame with
idand a references column (list-column or delimited string). Optionallyyear,title,journal,doi,cited_by_count.- references
Character. Name of the column containing cited references. Default
"references".- sep
Character. Separator used to split the references column when it is a plain character column. Default
";".- strip_quotes
Logical. If
TRUE(default), surrounding quote characters are removed from each reference.- id
Optional. Name of the column to use as the work identifier. If
NULL(default), an existingidcolumn is used when present, otherwise row numbers are used.
Value
A data frame with columns:
idDocument identifier.
lcsLocal Citation Score: times cited within the dataset.
gcsGlobal Citation Score:
cited_by_countif available.
Plus any metadata columns present in the input (title, year,
journal, doi).
Examples
data(biblio_data)
local_citations(biblio_data)
#> id lcs gcs year title
#> 1 W1 7 45 2018 Co-citation analysis of scientific literature
#> 2 W2 4 32 2019 Bibliographic coupling and research fronts
#> 3 W3 2 18 2020 Fractional counting in bibliometrics
#> 4 W5 1 12 2021 Community detection in citation networks
#> 5 W4 0 55 2019 Network analysis of scholarly communication
#> 6 W6 0 8 2020 Author name disambiguation methods
#> 7 W7 0 22 2018 Keyword co-occurrence mapping
#> 8 W8 0 5 2022 Temporal patterns in citation data
#> 9 W9 0 38 2019 Normalization of co-occurrence data
#> 10 W10 0 15 2021 Mapping scientific knowledge domains
#> journal doi
#> 1 Scientometrics 10.1000/test.1
#> 2 Journal of Informetrics 10.1000/test.2
#> 3 Scientometrics 10.1000/test.3
#> 4 Journal of Informetrics 10.1000/test.5
#> 5 JASIST 10.1000/test.4
#> 6 Scientometrics 10.1000/test.6
#> 7 JASIST 10.1000/test.7
#> 8 Quantitative Science Studies 10.1000/test.8
#> 9 JASIST 10.1000/test.9
#> 10 Journal of Informetrics 10.1000/test.10