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w4mkmeans is a Planemo-built galaxy-tool-wrapper to wrap the stats::kmeans R package for clustering the dataMatrix produced by workflow4metabolomics (W4m). Using the intensities in the dataMatrix, w4mkmeans calculates the k-means clusters for samples or features and add them as columns to sampleMetadata or featureMetadata, respectively. If several, comma-separated K's are supplied, then one column is added for each K. This clustering is not hierarchical; each member of a cluster is not a member of any other cluster. For feature-clustering, each feature is assigned to a cluster such that the feature's response for all samples is closer to the mean of all features for that cluster than to the mean for any other cluster. For sample-clustering, each sample is assigned to a cluster such that the sample's response for all features is closer to the mean of all samples for that cluster than to the mean for any other cluster.
| 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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