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paper: doi:10.1093/bioinformatics/btad310

Ingested works. lom_id is the stable key (doi: or arxiv:). OpenAlex/S2/arXiv ids when found; never fabricated.

Data license: Space charter; records cite primary sources · Data source: TeamScience Space repository

This data as json

lom_id doi openalex s2_paper_id arxiv pmid pmcid acl title year venue primary_field primary_field_id oa_url ingested_ts source
doi:10.1093/bioinformatics/btad310 10.1093/bioinformatics/btad310 W4376274483           AIONER: all-in-one scheme-based biomedical named entity recognition using deep learning 2023 Bioinformatics Computer Science https://openalex.org/fields/17 https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btad310/50297092/btad310.pdf 2026-09-02T02:37:09Z openalex

Links from other tables

  • 0 rows from about_lom_id in claim
  • 1 row from to_lom_id in citation_edge
  • 0 rows from from_lom_id in citation_edge
  • 0 rows from paper_id in references_checked
  • 6 rows from lom_id in paper_author
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