Preliminary analysis of COVID-19 academic information patterns: A call for open science in the times of closed borders
Accompanying git repository with code and raw and processed data used in the article "Preliminary analysis of COVID-19 academic information patterns: A call for open science in the times of closed borders" by Homolak J, Kodvanj I, Virag D. For more information and final output, see full article and code comments.
- https://www.preprints.org/manuscript/202003.0443/v2
- https://www.preprints.org/manuscript/202003.0443/v1 (old version)
ggplot2
lubridate
dplyr
ggsci
RISmed
stringr
devEMF
plotly
rjson
bibliometrix
pubmedR
urllib3
python-dateutil
selenium
All raw data is contined in raw_data.RData file in data folder. Additionally, we exported raw data to CSV files and compressed them in a .zip file. Note that some of the data is lost during the export to CSV and that RData is more complete.
User has to provide API key to run pmApiRequest() function in R script. API key can be obtained on PubMed.