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Updated: Jul 17, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Historical author affiliations assist verification of automatically generated MEDLINE citations
Tehseen F Sabir1, Susan E Hauser, George R Thoma
1National Library of Medicine, NIH, DHHS, Bethesda, MD, USA.
Abstract:
High OCR error rates encountered in author affiliations increase the manual labor needed to verify MEDLINE citations automatically created from scanned journal articles. This is due to poor OCR recognition of the small text and italics frequently used in printed affiliations. Using author-affiliation relationships found in existing MEDLINE records, the SeekAffiliation (SA) program automatically finds potentially correct and complete affiliations, thereby reducing manual effort and increasing the efficiency of creating the citations.
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