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Each dataset is serialized as python pkl dictionary where keys are sequences and values are embeddings. Embeddings were produced using the protbert_bfd model from ProtTrans (DOI: 10.1109/TPAMI.2021.3095381). Example code for loading the embedding dictionaries can be found in the project github repository- https://github.com/kellylab/viral-protein-function-annotation-with-protein-language-model PHROGs sequences come from the Prokaryotic virus Remote Homologous Groups database v3 (DOI: 10.1093/nargab/lqab067) EFAM sequences come from the efam database (DOI: 10.25739/9vze-4143)
| 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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