Whenever QHC variations occur, the question remains whether they stem from actual variations in available records or mere counting errors by the search system.
The Stern Review of the Economics of Climate Change: A Comment, The Stern Review: A Dual Critique. 36, 462–478. However, as these methods are not practically applicable for most ASEBDs in a similar fashion, we introduced an iterative method to test the features of ASEBDs in our sample. (2015) include articles, citations, and patents indexed on Google Scholar and thus can reasonably be compared. Orduña-Malea, Ayllón, et al. To reduce the server load, we limited the length of queries. Oxford University Press. In three cases—Google Scholar, ProQuest, and Web of Science—two methods simultaneously produced the same maximum QHC. .

This indicates that in 44 months Google Scholar increased its size by 40% or an average growth rate of 1.6 million records per month. Recall denotes the search system’s capability to retrieve all relevant records over a query (Croft et al.

2015).
https://doi.org/10.1016/j.lisr.2013.04.006. The methods used made it possible to assess a multitude of different ASEBDs and compare their sizes. Specifically, we found that it is plausible to assume that Google Scholar’s size has been underestimated by between 8% (compared to Delgado López-Cózar et al.

Our measure of QHCs denotes the number of retrieved records, while the total size of the database remains known only to the database provider. 2015). Cham: Springer.

The databases we selected are listed in “Appendix 1”.

Aslib Proceedings, An experimental search strategy retrieves more precise results than PubMed and Google for questions about medical interventions, In search of the right literature search engine(s), Comparison of the time‐to‐indexing in PubMed between biomedical journals according to impact factor, discipline, and focus, Will Web Search Engines Replace Bibliographic Databases in the Systematic Identification of Research. Eastman, C. M., & Jansen, B. J. Journal of Medical Internet Research. 32, 102–114.

The need to obtain the relevant scientific document is urgently needed by the researchers in this information overload era, where various kinds of information can be found on the Internet. All ASEBDs analysed in this study were accessed between January 2018 and August 2018.

Hug, S. E., & Braendle, M. P. (2017). It is certainly the most comprehensive academia search engine, but nevertheless, it remains unclear why Google Scholar does not report its size. The silent fading of an academic search engine: The case of Microsoft Academic Search. . We found that all of the bibliographic databases and aggregators we examined—EbscoHost, ProQuest, Scopus, and Web of Science—provide plausible QHC results.

Monitoring ASEBDs is even more necessary in times of exponential growth of information and scientific output (Bornmann and Mutz 2014).

12, 1160–1177. https://venngage.net/p/66001/semantic-scholar-vs-google-scholar. 2015; Khabsa and Giles 2014) some queries employed in this study focus on records that at least in some part use the English alphabet or English terms, that is, in using “the” and word combinations of the Oxford word list. This is not surprising given these services access a stable and curated database over which they have extensive control.

9, 570–576. 2017): “[p]erhaps even Google Scholar does not know this “number”… a number that approximately represents the online scientific heritage circulating at present” (Orduña-Malea, Ayllón, et al.

The QHC estimation of both our study and that of Orduña-Malea et al. Martín-Martín, A., Orduna-Malea, E., Harzing, A.-W., & Delgado López-Cózar, E. (2017).

Scientometrics, To examine Google Scholar’s query results, we made an effort to discern patterns of reliability and precision. If we apply the same ratio between the two search engines in January 2018, Google Scholar would amount to roughly 372 million records, a number close to our QHC of 389 million.

), 36th European conference on IR research, Amsterdam, The Netherlands, April 13–16 2014 (Vol.

Google Scholar: the pros and the cons. FAQ About Contact • Sign In Create Free Account. Search. In the case of BASE, the QHC exactly matched the official size information.


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