Which academic search systems are suitable for systematic reviews or meta‐analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources
Johannes Kepler University of Linz · University of Johannesburg · +1 more institution
Abstract
Rigorous evidence identification is essential for systematic reviews and meta-analyses (evidence syntheses) because the sample selection of relevant studies determines a review's outcome, validity, and explanatory power. Yet, the search systems allowing access to this evidence provide varying levels of precision, recall, and reproducibility and also demand different levels of effort. To date, it remains unclear which search systems are most appropriate for evidence synthesis and why. Advice on which search engines and bibliographic databases to choose for systematic searches is limited and lacking systematic, empirical performance assessments. This study investigates and compares the systematic search…
Citation impact
- FWCI
- 77.91
- Percentile
- 100%
- References
- 98
Authors
2Topics & keywords
- Computer science
- Systematic review
- Information retrieval
- Usability
- Metasearch engine
- Recall
- Data science
- Online search