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ZENODO
Software . 2016
Data sources: Datacite
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ZENODO
Software . 2016
Data sources: ZENODO
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REDCapR: REDCapR 0.9.6

Authors: OUHSC BBMC;

REDCapR: REDCapR 0.9.6

Abstract

New Features: Support for filtering logic in redcap_read() and redcap_read_oneshot() (PR #126) New functions retrieve_credential_mssql() and retrieve_credential_local(). These transition from storing & retrieving just the token (ie, retrieve_token_mssql()) to storing & retrieving more information. retrieve_credential_local() facilitates a standard way of storing tokens locally, which should make it easier to follow practices of keeping it off the repository. Using parameterized queries with the RODBCext package. (Thanks @nutterb in issues #115 & #116.) Remove line breaks from token (Thanks @haozhu233 in issues #103 & #104) Minor Updates: When combining batches into a single data.frame, data.table::rbindlist() is used. This should prevent errors with the first batch's data type (for a column) isn't compatible with a later batch. For instance, this occurs when the first batch has only integers for record_id, but a subsequent batch has values like aa-test-aa. The variable for the combined dataset should be a character. (Issue #128 & http://stackoverflow.com/questions/39377370/bind-rows-of-different-data-types; Thanks @arunsrinivasan) Uses the dplyr package instead of plyr. This shouldn't affect callers, because immediately before returning the data, REDCapR::redcap_read() coerces the tibble::tibble (which was formerly called dplyr::tbl_df) back to a vanilla data.frame with as.data.frame(). A few more instances of validating input parameters to read functions. (Issue #8).

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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