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
- Location_cities_country; List of authors, each author has a country associated with his name
- _id; an id specific to mongodb
- abstract; Raw text of the paper's abstract
- authors; Raw text that contains the name of authors and affiliations.
- country_list; Raw text of countries present in the paper (From authors affiliations)
- date: Date of appearance on pubmed
- date_accepted: Date of acceptance of the journal
- date_medline: Date of appearance on medline
- date_received: Date of submission to the journal
- doi
- grants: List of grants that supports the paper
- inter_collab: binary int, 0 if no international collaboration in this paper, 1 otherwise
- is_coronavirus_lower: binary int, 0 if not related to coronavirus reseach, 1 otherwise
- is_eu: Atleast one country is in the EU
- meshsubwords
- meshwords
- nb_country; Number of countries in affs
- pmid
- share_aff_captured: number of affiliations/ number of authors
- source; journal
- team_size; number of authors
- title; Title of the paper
- unix; date converted to unix
- unix_accepted; date_accepted converted to unix
- unix_medline; date_medline converted to unix
- unix_received; date_received converted to unix