Variation in number of hits for complex searches in Google Scholar
- PMID: 27076802
- PMCID: PMC4816485
- DOI: 10.3163/1536-5050.104.2.009
Variation in number of hits for complex searches in Google Scholar
Abstract
Objective: Google Scholar is often used to search for medical literature. Numbers of results reported by Google Scholar outperform the numbers reported by traditional databases. How reliable are these numbers? Why are often not all available 1,000 references shown?
Methods: For several complex search strategies used in systematic review projects, the number of citations and the total number of versions were calculated. Several search strategies were followed over a two-year period, registering fluctuations in reported search results.
Results: Changes in numbers of reported search results varied enormously between search strategies and dates. Theories for calculations of the reported and shown number of hits were not proved.
Conclusions: The number of hits reported in Google Scholar is an unreliable measure. Therefore, its repeatability is problematic, at least when equal results are needed.
Keywords: Information Storage and Retrieval; Reproducibility of Results; Review Literature as Topic; Search Engine.
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References
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- Harzing AW. A longitudinal study of Google Scholar coverage between 2012 and 2013. Scientometrics. 2014;98(1):565–75.
-
- Orduña-Malea E, Ayllón JM, Martín-Martín A, López-Cózar ED. About the size of Google Scholar: playing the numbers 2014. (Available from: http://arxiv.org/abs/1407.6239. [updated 5 Sep 2014; cited 13 Jan 2015].)
-
- Pitol SP, De Groote SL. Google Scholar versions: do more versions of an article mean greater impact. Libr Hi Tech. 2014;32(4):594–611.
-
- Hjørland B. Classical databases and knowledge organization: a case for Boolean retrieval and human decision-making during searches. J Assoc Inf Sci Tech. 2015;66(8):1559–75.
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