This dataset gives information about metadata coverage per year and agreement.
Details
The following Crossref metadata were analysed:
- cr_year
Earliest publication year (Crossref field `issued`)
- issn_l
Linking ISSN
- articles_total
Yearly journal output by year and country affiliation
- tdm_total
The number of articles containing full text URLs in the metadata
- orcid_total
The number of articles containing at least one ORCID in the metadata
- funder_total
The number of articles with funding metadata
- abstract_total
The number of articles with open abstracts
- ref_total
The number of articles with open reference lists)
- cat
Global output or from first-authors based in Germany
Examples
# OA Articles in Scientometrics from first-authors in Germany: Metadata coverage
cr_md[cr_md$issn_l == "0138-9130" & cr_md$cat == "Germany",]
#> # A tibble: 8 × 9
#> cr_year issn_l article_total tdm_total orcid_total funder_total abstract_total
#> <int> <chr> <int> <int> <int> <int> <int>
#> 1 2017 0138-… 7 7 3 4 0
#> 2 2018 0138-… 4 4 3 1 0
#> 3 2019 0138-… 6 6 5 1 2
#> 4 2020 0138-… 29 29 26 12 29
#> 5 2021 0138-… 29 29 26 26 25
#> 6 2022 0138-… 24 24 23 23 23
#> 7 2023 0138-… 15 15 15 15 15
#> 8 2024 0138-… 1 1 1 1 1
#> # ℹ 2 more variables: ref_total <int>, cat <chr>