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Add qm_verify() as a means for verifying data data previously saved to disk prior to processing them with qm_summarize() Add second approach to producing counts using qm_summarize() that returns counts of participants rather than counts of clusters associated with each feature Remove the inclusion of the COUNT from what is returned with qm_create() Ensure compatability with the dplyr v1.0 release: qm_cluster() no longer adds a custom class instead, qm_is_cluster() can be used to check for the appropriate characteristics of objects, but no longer checks the class itself Update pkgdown site and README with details on pre-print
| 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 |
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