Global Research on Coronaviruses: An R Package
In these trying times, we developed an R package to simplify the workflow of interested researchers, with multidisciplinarity in mind. With more than 28,000 medical references, this package is among the largest ones about the medical references on coronaviruses. It is also the only one of this size - to the best of our knowledge - to be built in the R language. This package could be of interest to epidemiologists, researchers in scientometrics, biostatisticians, as well as data scientists broadly defined. This package collects references from PubMed and organize the data in a dataframe. Then, we built functions to sort through the collection of references. Researchers can also integrate the data in their own pipeline and implement in R their own code libraries. We provide a short use case in this article based on a bibliometric analysis of the references made available by this package.
Keywords: R, Covid-19, Pandemic
For attribution, please cite this work as
Warin, "Thierry Warin, PhD: [Article] Global Research on Coronaviruses: An R Package", J Med Internet Res, 2020
BibTeX citation
@article{warin2020[article], author = {Warin, Thierry}, title = {Thierry Warin, PhD: [Article] Global Research on Coronaviruses: An R Package}, journal = {J Med Internet Res}, year = {2020}, note = {https://warin.ca/posts/article-global-research-on-coronaviruses/}, doi = {10.2196/19615} }