The scripts for generating the datasets are available at https://github.com/jokergoo/citation_analysis. There are three files in this dataset: 1. citations.tab.gz: A table with two columns: citing: pmid (PubMed ID) of the citing paper cited: pmid of the cited paper citing cited 10578099 10578100 10578100 10578099 10590126 10623754 10592169 10592170 10592169 10592175 10592169 10592200 2. pub_meta.tab.gz: A table with 8 columns: pmid: pmid of the paper. journal_uid: uid of the paper on PubMed. pub_year: year of the paper. n_authors: number of authors. country: identified country of the paper. country_type: type of the country identification. Values are `_domestic_`, `_domestic_80_`, `_international_` or `_empty_`. `_domestic_80_` means less than 20% of international authors in the middle of the author list. file_id: file id on PubMed FTP. n_references: number of references of the paper. pmid journal_uid pub_year n_authors country country_type file_id n_references 38566917 101213162 2016 4 United States _domestic_ 1366 2 38567026 9886008 2022 3 United States _domestic_ 1366 12 38567115 101562981 2018 5 United States _domestic_ 1366 6 38567118 101668947 2018 4 United States _domestic_ 1365 0 38567245 101283276 2019 10 United States _domestic_ 1366 16 3. num_cite_country_country.tab.gz: A table with three columns: country_cited: country of the cited papers. country_citing: country of the citing papers. citations: total number of citations. country_cited country_citing citations Afghanistan Afghanistan 20 Afghanistan Australia 16 Afghanistan Austria 1 Afghanistan Bangladesh 4 Afghanistan Belgium 3 Afghanistan Brazil 8