Get bioRxiv/medRxiv preprints

Usage

get_preprints(subject = "all", clean = TRUE)

Arguments

subject: A character vector of valid bioRxiv and/or medRxiv subjects. See subjects.
clean: Logical; try to strip out graphical abstract information? If TRUE, this strips away any text between O_FIG and C_FIG, and the words graphical abstract from the abstract text in the RSS feed.

Value

A data frame of preprints from bioRxiv and/or medRxiv.

Examples

preprints <- get_preprints(subject=c("bioinformatics", "Public_and_Global_Health"))
preprints
#> # A tibble: 60 × 5
#>    source  subject        title                                   url   abstract
#>    <chr>   <chr>          <chr>                                   <chr> <chr>   
#>  1 bioRxiv bioinformatics Cell-type-specific mapping of enhancer… http… "Mappin…
#>  2 bioRxiv bioinformatics Particular sequence characteristics in… http… "Transp…
#>  3 bioRxiv bioinformatics Machine Learning-Enhanced Drug Discove… http… "Alzhei…
#>  4 bioRxiv bioinformatics Generalizable Morphological Profiling … http… "The in…
#>  5 bioRxiv bioinformatics Local Mean Suppression Filter for Effe… http… "We pre…
#>  6 bioRxiv bioinformatics FerroEnrich: An Interactive web tool f… http… "Ferrop…
#>  7 bioRxiv bioinformatics LOCAS: Multi-label mRNA Localization w… http… "Tradit…
#>  8 bioRxiv bioinformatics RanBALL: An Ensemble Random Projection… http… "As the…
#>  9 bioRxiv bioinformatics Continual integration of single-cell m… http… "Single…
#> 10 bioRxiv bioinformatics Protein Sequence Modelling with Bayesi… http… "Explor…
#> # ℹ 50 more rows