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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
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Validated geographic search filters for bibliographic databases: a scoping review protocol
Catharina Muente1,2, Alexander Pachanov1,2,3, Julian Hirt4,5,6
1Faculty of Health Sciences Brandenburg, Brandenburg Medical School (Theodor Fontane), Institute for Health Services and Health System Research, Rüdersdorf, Germany.
JBI Evidence Synthesis
|February 12, 2024
Summary
This scoping review identifies validated geographic search filters for literature searches. It details their development, methodology, and performance measures for targeted evidence synthesis.
Area of Science:
- Information Science
- Health Sciences
- Epidemiology
Background:
- Geographic data is crucial for evidence syntheses on regional health disparities and epidemiological questions.
- Search filters enhance literature retrieval in bibliographic databases by identifying publications with specific characteristics.
- Geographic search filters specifically target research evidence pertaining to defined geographical areas like countries or regions.
Purpose of the Study:
- To identify validated geographic search filters.
- To report on the methodology used in developing these filters.
- To present their performance measures.
Main Methods:
- This scoping review adheres to JBI methodology.
- Literature searches will be conducted in PubMed, Embase, InterTASC Information Specialists' Sub-Group Search Filter resource, and Google Scholar.
- Data extraction will cover study characteristics, filter specifics (geographical area), and development/validation methods, followed by narrative summary and tabular presentation.
Main Results:
- The review will identify and categorize validated geographic search filters.
- Methodologies for developing and validating these filters will be documented.
- Performance measures of the identified filters will be reported.
Conclusions:
- Validated geographic search filters are essential tools for efficient and targeted literature searching in evidence synthesis.
- Understanding their development and performance aids researchers in selecting appropriate filters.
- This review provides a comprehensive overview to support evidence-based practice and research in various health and epidemiological contexts.

