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 [email protected] 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