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Overlapping can be defined as the area intersected by two or more probability density functions. The main idea of this package is to offer an easy way to quantify the similarity (or the difference) between two or more empirical distributions by using the overlap between their kernel density estimates.
For more informations see https://github.com/masspastore/overlapping
Overlapping, distribution free, empirical distributions, effect size, R-package
Overlapping, distribution free, empirical distributions, effect size, R-package
| 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 |
| views | 5 |

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