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Related Experiment Video

Updated: Jul 17, 2025

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

A mapping exercise using automated techniques to develop a search strategy to identify systematic review tools.

Anthea Sutton¹, Hannah O'Keefe², Eugenie Evelynne Johnson^2,3

¹Sheffield Centre for Health and Related Research, School of Medicine and Population Health, The University of Sheffield, Sheffield, UK.

Research Synthesis Methods

|September 5, 2023

Summary

Developing an automated search strategy effectively identifies new tools for systematic reviews, reducing the burden of manual searching. This method significantly increased the number of tools catalogued in the Systematic Review Toolbox.

Keywords:

automation evidence synthesis information retrieval literature search search strategy systematic reviews

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Area of Science:

Information Science
Health Sciences
Evidence Synthesis

Background:

Identifying publications for systematic review tools is challenging, causing high screening burdens.
The Systematic Review Toolbox aims to catalogue tools for systematic reviews and evidence synthesis.

Purpose of the Study:

To develop an automated search strategy for identifying eligible records for the Systematic Review Toolbox.
To reduce the time and burden associated with manually identifying systematic review tools.

Main Methods:

A mapping exercise identified PubMed IDs of papers within the Systematic Review Toolbox.
Text-mining software (Yale MeSH Analyser, VOS Viewer) identified common MeSH and text words.
Boolean operators combined terms into a search strategy for Ovid MEDLINE.

Main Results:

Prior to the strategy, 81 software and 55 'Other' tools were included.
Since implementation, 146 new tools have been added to the toolbox.
An increase in tool additions was observed after the search strategy and auto-alert were established.

Conclusions:

A search strategy developed from a mapping exercise effectively identifies new tools for systematic reviews.
This approach reduces reviewer burden and enhances the Systematic Review Toolbox.
Further research can optimize record prioritization and adapt strategies for non-healthcare disciplines.