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Related Experiment Video

Updated: Jun 22, 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

Interactive text mining with Pipeline Pilot: a bibliographic web-based tool for PubMed.

S G P Vellay¹, N E Miller Latimer, G Paillard

¹Accelrys Ltd, 334 Cambridge Science Park, Cambridge CB4 0WN, UK. svellay@accelrys.com

Infectious Disorders Drug Targets

|June 13, 2009

Summary

This summary is machine-generated.

This study presents an agile, web-based text analysis tool for efficiently analyzing PubMed search results. It helps scientists quickly identify relevant papers and evaluate query refinement for medical research.

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Last Updated: Jun 22, 2026

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

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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Area of Science:

Biomedical Informatics
Scientific Literature Analysis
Computational Biology

Background:

Text mining is crucial in medical research, but existing software often has limited use cases.
Scientists need efficient tools to navigate and analyze large volumes of scientific literature.

Purpose of the Study:

To demonstrate a flexible bibliographic tool for diverse text analysis needs.
To showcase a Pipeline Pilot web-based application for interactive PubMed data analysis.

Main Methods:

Utilized a Pipeline Pilot application for interactive analysis of PubMed search results.
Integrated Entrez databases for enhanced data retrieval for biologists and chemists.
Applied the tool to a case study on Leishmaniasis research.

Main Results:

The application enables agile and interactive analysis of PubMed search results.
Facilitates rapid identification of relevant scientific papers within a specific research area.
Supports effective evaluation of search query refinement strategies.

Conclusions:

The presented Pipeline Pilot application offers a versatile solution for text mining in biomedical research.
This tool enhances researchers' ability to efficiently discover and assess relevant literature.
Applicable across disciplines, aiding both biologists and chemists in literature review.