Sometimes the apple does fall far from the tree: a case study on automatic indexing precision errors in PubMed
As indicated by this study's findings, automatic indexing can commit errors when indexing records that have words with non-literal or alternative meanings in their titles or abstracts. Librarians should be mindful of the existence of automatic indexing errors, and instruct authors on how best to ameliorate the effects of them within their own manuscripts.
Authors
- Paije Wilson (ORCID: https://orcid.org/0000-0003-0799-4776)
Institutions
- Wisconsin Department of Health Services (US)
- University of Wisconsin–Madison (US)
- University of Wisconsin Health (US)
- Wisconsin Division of Public Health (US)
Publication Details
- Journal
- Journal of the Medical Library Association JMLA
- Published
- 2025-10-23
- DOI
- https://doi.org/10.5195/jmla.2025.2110
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00