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First author country affiliations per journal, year and Creative Commons license

Source: R/data.R
jn_aff.Rd

This dataset contains the number and proportion of open access articles in hybrid journals by country, year and Creative Commons license variant.

Usage

jn_aff

Format

An object of class tbl_df (inherits from tbl, data.frame) with 1981677 rows and 6 columns.

Details

Country affiliations were determined using the first author affiliation as listed by OpenAlex. A first author is often considered as lead author(https://en.wikipedia.org/wiki/Lead_author) who has usually undertaken most of the research presented in the article, although author roles can vary across disciplines.

Note that full counting in which every original article or review was counted once per country of affiliation of the first authors was applied. Because first authors can have multiple affiliations from different countries, don't use this dataset, but jn_ind to determine a journal's publication volume.

Variables:

issn_l

Linking ISSN

cr_year

Earliest publication year (Crossref field `issued`)

country_code

The country where this institution is located, represented as an ISO two-letter country code. (OpenAlex field `country_code`)

cc

Normalized Creative Commons variant. NA represents articles, which were not provided under a CC license

articles_under_cc_variant

Number of articles under Creative Commons variant, grouped by journal, year and country affiliation

articles_total

Yearly journal output by year and country affiliation

Examples

# Country output China vs Germany in Scientometrics (ISSN-L: 0138-9130)
  subset(jn_aff,
    issn_l %in% "0138-9130" & country_code %in% c("DE", "CN"))
#> # A tibble: 30 × 6
#>    issn_l    cr_year country_code cc    articles_under_cc_variant articles_total
#>    <chr>       <int> <chr>        <chr>                     <int>          <int>
#>  1 0138-9130    2024 DE           CC BY                        10             12
#>  2 0138-9130    2024 CN           NA                           59             61
#>  3 0138-9130    2024 DE           NA                            2             12
#>  4 0138-9130    2024 CN           CC BY                         2             61
#>  5 0138-9130    2023 CN           CC BY                         4             79
#>  6 0138-9130    2023 CN           NA                           75             79
#>  7 0138-9130    2023 DE           CC BY                        15             15
#>  8 0138-9130    2022 DE           NA                            1             24
#>  9 0138-9130    2022 CN           CC BY                         5            103
#> 10 0138-9130    2022 CN           NA                           98            103
#> # ℹ 20 more rows