
This release attempts to solve problems hosting the shiny_cast app, while also implementing functions to preserve as much meta data as possible from the REDCap database when exporting data. The hosting on shinyapps.io has given a lot of trouble recently. Modified package structure a little around the shiny_cast(), to accommodate an alternative hosting approach with all package functions included in a script instead of requiring the package. NEW: A new option to raw_or_label in read_readcap_tables() has been added: "both". Get raw values with REDCap labels applied as labels. Use as_factor() to format factors with original labels and use the gtsummary package to easily get beautiful tables with original labels from REDCap. Use fct_drop() to drop empty levels. NEW: fct_drop() has been added with an extension to forcats::fct_drop(), that works across data.frames. Use as fct_drop(). CHANGE: the default data export method of easy_redcap() has been changed to use the new labelled data export with read_readcap_tables().
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
