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Data associated with the S1000 corpus The tagger software for which the dictionary files in tagger-organisms-dictionary-S1000.tar.gz can be used with can be found here: https://github.com/larsjuhljensen/tagger The online version of the annotation documentation can be found here: https://katnastou.github.io/s1000-corpus-annotation-guidelines/ The S1000 corpus split in training, development and test sets in BRAT format can be found in S1000-corpus.tar.gz and in CoNLL format here: s1000-conll.tar.gz The tagging results of Jensenlab tagger for the S1000 test set are here: S1000-jensenlab-tagger.tar.gz The result from the large scale run in entire PubMed and PMC Open Access articles for Jensenlab tagger is provided here: Jensenlab_tagger_large_scale_matches_with_rank.tsv.gz The model used for the large scale run of the transformer-based method is here: S1000_Transformer_based_tagger_large_scale_model.tar.gz and the results from the large scale tagging here: Transformer_based_tagger_large_scale_matches_with_rank.tsv.zip
species named entity recognition, biomedical corpus annotation
species named entity recognition, biomedical corpus annotation
| 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 |
| views | 111 | |
| downloads | 41 |

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