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Related Experiment Video

Updated: Jun 4, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

Literature Mapping with PubAtlas - extending PubMed with a 'BLASTing interface'.

D S Parker¹, W W Chu, F W Sabb

¹Computer Science Dept, UCLA;

Summit on Translational Bioinformatics

|February 25, 2011

Summary

PubAtlas offers a novel web service for creating interactive literature maps from biomedical research. This tool enhances PubMed by enabling detailed analysis of term associations and historical trends in scientific publications.

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Last Updated: Jun 4, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

Area of Science:

Biomedical Informatics
Bibliometrics
Scientific Literature Analysis

Background:

Biomedical research generates vast amounts of literature, making comprehensive analysis challenging.
Existing tools offer limited capabilities for exploring relationships between research terms.
There is a need for advanced platforms to visualize and analyze scientific literature effectively.

Purpose of the Study:

To introduce PubAtlas, a web service and standalone program for generating literature maps.
To extend PubMed's functionality with an interactive literature analysis interface.
To provide tools for exploring term associations and historical trends in biomedical literature.

Main Methods:

PubAtlas accepts user-defined sets of terms (PubMed queries) as input.
It performs pairwise intersections (x AND y) between term sets using an 'all vs. all' approach.
Literature maps are presented as interactive tabular displays in a heatmap/microarray format.

Main Results:

PubAtlas enables the exploration of associations among sets of terms through interactive literature maps.
The platform supports the development of specialized lexica and user-defined query languages.
Temporal query features provide historical perspectives on research patterns.

Conclusions:

PubAtlas serves as a framework for extending the PubMed interface.
It offers an extensible platform for creating interactive visualizations of biomedical literature.
The tool facilitates deeper understanding of research landscapes and trends.