Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Apr 24, 2020
Date Accepted: Jul 26, 2020
Date Submitted to PubMed: Jul 30, 2020
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Global Research on Coronaviruses: An R Package
ABSTRACT
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.
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Copyright
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