MeSH Recommender Demonstration

Authors

• Leah A. Everitt, University of New Mexico, Health Sciences Library and Informatics CenterFollow

Presentation Date

6-18-2026

Files

Description

HSLIC is pleased to announce the launch of a new PubMed metadata analysis tool MeSH Recommender. MeSH Recommender takes PubMed metadata extracts Author Keywords, compares these to Medical Subject Headings (MeSH) and Supplementary Headings to create a list of Author Keywords that doesn't include MeSH. This tool may be of interest if you are conducting an evidence synthesis project or you're interested in suggesting a new MeSH term to the National Library of Medicine. This short session will:

• Provide use cases for the site
• Demonstrate how to use the tool
• Ask attendees if they would be interested in providing anonymous feedback on the site

Explore the site: https://meshrecommender.org/

Leah Everitt, MSLS and Assistant Professor is the creator of MeSH Recommender, contact them at leveritt@salud.unm.edu with any questions.

Document Type

Presentation

Language

English

Keywords

MeSH, Medical Subject Headings, metadata, text mining, software, PubMed

Disciplines

Health Information Technology

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

Everitt, Leah A.. "MeSH Recommender Demonstration." (2026). https://digitalrepository.unm.edu/hslic-posters-presentations/231