Selecting differential splicing methods: Practical Considerations - R Scripts and Data
Draper, Ben J;
Selecting differential splicing methods: Practical Considerations - R Scripts and Data
R code and CSV/XLSX datasets to create figures 2, 3 and 4 in the Review paper: Selecting differential splicing methods: Practical Considerations. Citation Trends analysis and GitHub Repository maintenance analysis. Supplementary Table 1 - Full statistical details of surveyed Differential Splicing Methods.
- University of Sheffield United Kingdom
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).2 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.Top 10% 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
selected citations
Citations provided by BIP!
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).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 2
Top 10%
Average
Average