
doi: 10.59350/3ah8a-vyf69
As I’ve been involved in the new FAIR for Research Software (FAIR4RS) activity (jointly run under FORCE11, RDA, and ReSA), I’ve been leading a subgroup looking at the FAIR (data) principles and thinking about how they can be applied to software. One of the things that has become clear to me is how fundamentally different software and data are, and the consequences this has on how software can be made FAIR.
| 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 |
