Global health science leverages established collaboration network to fight COVID-19

Json file containing the data for the Global health science leverages established collaboration network to fight COVID-19 paper. Each document is a paper, the metadata were downloaded using the API of pubmed and completed using python to filter and create new variables : - ISSN<br> - Location_cities_country; List of authors, each author has a country associated with his name<br> - _id; an id specific to mongodb<br> - abstract; Raw text of the paper's abstract<br> - authors; Raw text that contains the name of authors and affiliations.<br> - country_list; Raw text of countries present in the paper (From authors affiliations)<br> - date: Date of appearance on pubmed<br> - date_accepted: Date of acceptance of the journal<br> - date_medline: Date of appearance on medline<br> - date_received: Date of submission to the journal<br> - doi<br> - grants: List of grants that supports the paper<br> - inter_collab: binary int, 0 if no international collaboration in this paper, 1 otherwise<br> - is_coronavirus_lower: binary int, 0 if not related to coronavirus reseach, 1 otherwise<br> - is_eu: Atleast one country is in the EU<br> - meshsubwords<br> - meshwords<br> - nb_country; Number of countries in affs<br> - pmid<br> - share_aff_captured: number of affiliations/ number of authors<br> - source; journal<br> - team_size; number of authors<br> - title; Title of the paper<br> - unix; date converted to unix<br> - unix_accepted; date_accepted converted to unix<br> - unix_medline; date_medline converted to unix<br> - unix_received; date_received converted to unix