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This is the first release of the modest R package {ggcorset}, which serves as documentation of the corset plot. The corset plot is used to visualize discrete repeat measures data at 2 time points (such as pre- and post- data). The distribution of measurements at each time point is visualized using a half violin. Additionally, the trajectory of individual change is visualized by connecting these two points linearly, which can be filled to visualize the magnitude of change or other user-defined observed value. This method of visualization is ideal for showing the true heterogeneity of data. The {ggcorset} package is geared towards users with limited experience in R, creating corset plots using data in either wide or long format. This package relies on {ggplot2} to produce the visualizations. As such, the corset plot allows for easy integration with {ggplot2}, so that users can customize their visualizations as required.
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citations 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 |