davorvr / covid-academic-pattern-analysis

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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.

Links to the article:


R script dependencies:

roadoi
fulltext
rcrossref
rorcid
ggplot2
lubridate
dplyr
ggsci
RISmed
spatstat.utils
stringr
smps
devEMF
plotly
rjson
bibliometrix

Python script dependencies:

urllib3
python-dateutil
selenium

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License:GNU General Public License v3.0


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