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16S rRNA gene sequences from the Genome Taxonomy Database (GTDB release 220) were used to retrain the RDP Classifier (version 2.13). Two sets of training files are provided: genus.zip - Genus level species.zip - Species level The code in prepare_files.R was used to prepare the GTDB sequence and taxonomy files for retraining the RDP Classifier. Notes: Steps to retrain the RDP Classifier are adapted from https://john-quensen.com/tutorials/training-the-rdp-classifier/ Python scripts (lineage2taxTrain.py and addFullLineage.py) are available at https://github.com/rdpstaff/classifier/issues/18 The first 1000 training sequences (train_nodups_1000.fasta) are used for benchmarking the classification accuracy (see results at end of prepare_files.R).
| 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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