articleResearch Synthesis MethodsOct 15, 2019HYBRID OA

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

PubMed
Indexed incrossrefpubmed

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

2,066
total citations
FWCI
77.91
Percentile
100%
References
98
Citations per year

Authors

2

Topics & keywords

Keywords
  • Computer science
  • Systematic review
  • Information retrieval
  • Usability
  • Metasearch engine
  • Recall
  • Data science
  • Online search
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