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Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases
This paper introduces a novel scientometrics method and applies it to estimate the subject coverages of many of the popular English-focused bibliographic databases in academia. The method uses query results as a common denominator to compare a wide variety of search engines, repositories, digital li...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer International Publishing
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9075928/ https://www.ncbi.nlm.nih.gov/pubmed/35571007 http://dx.doi.org/10.1007/s11192-022-04289-7 |
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author | Gusenbauer, Michael |
author_facet | Gusenbauer, Michael |
author_sort | Gusenbauer, Michael |
collection | PubMed |
description | This paper introduces a novel scientometrics method and applies it to estimate the subject coverages of many of the popular English-focused bibliographic databases in academia. The method uses query results as a common denominator to compare a wide variety of search engines, repositories, digital libraries, and other bibliographic databases. The method extends existing sampling-based approaches that analyze smaller sets of database coverages. The findings show the relative and absolute subject coverages of 56 databases—information that has often not been available before. Knowing the databases’ absolute subject coverage allows the selection of the most comprehensive databases for searches requiring high recall/sensitivity, particularly relevant in lookup or exploratory searches. Knowing the databases’ relative subject coverage allows the selection of specialized databases for searches requiring high precision/specificity, particularly relevant in systematic searches. The findings illustrate not only differences in the disciplinary coverage of Google Scholar, Scopus, or Web of Science, but also of less frequently analyzed databases. For example, researchers might be surprised how Meta (discontinued), Embase, or Europe PMC are found to cover more records than PubMed in Medicine and other health subjects. These findings should encourage researchers to re-evaluate their go-to databases, also against newly introduced options. Searching with more comprehensive databases can improve finding, particularly when selecting the most fitting databases needs particular thought, such as in systematic reviews and meta-analyses. This comparison can also help librarians and other information experts re-evaluate expensive database procurement strategies. Researchers without institutional access learn which open databases are likely most comprehensive in their disciplines. |
format | Online Article Text |
id | pubmed-9075928 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-90759282022-05-09 Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases Gusenbauer, Michael Scientometrics Article This paper introduces a novel scientometrics method and applies it to estimate the subject coverages of many of the popular English-focused bibliographic databases in academia. The method uses query results as a common denominator to compare a wide variety of search engines, repositories, digital libraries, and other bibliographic databases. The method extends existing sampling-based approaches that analyze smaller sets of database coverages. The findings show the relative and absolute subject coverages of 56 databases—information that has often not been available before. Knowing the databases’ absolute subject coverage allows the selection of the most comprehensive databases for searches requiring high recall/sensitivity, particularly relevant in lookup or exploratory searches. Knowing the databases’ relative subject coverage allows the selection of specialized databases for searches requiring high precision/specificity, particularly relevant in systematic searches. The findings illustrate not only differences in the disciplinary coverage of Google Scholar, Scopus, or Web of Science, but also of less frequently analyzed databases. For example, researchers might be surprised how Meta (discontinued), Embase, or Europe PMC are found to cover more records than PubMed in Medicine and other health subjects. These findings should encourage researchers to re-evaluate their go-to databases, also against newly introduced options. Searching with more comprehensive databases can improve finding, particularly when selecting the most fitting databases needs particular thought, such as in systematic reviews and meta-analyses. This comparison can also help librarians and other information experts re-evaluate expensive database procurement strategies. Researchers without institutional access learn which open databases are likely most comprehensive in their disciplines. Springer International Publishing 2022-05-06 2022 /pmc/articles/PMC9075928/ /pubmed/35571007 http://dx.doi.org/10.1007/s11192-022-04289-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Gusenbauer, Michael Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases |
title | Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases |
title_full | Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases |
title_fullStr | Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases |
title_full_unstemmed | Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases |
title_short | Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases |
title_sort | search where you will find most: comparing the disciplinary coverage of 56 bibliographic databases |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9075928/ https://www.ncbi.nlm.nih.gov/pubmed/35571007 http://dx.doi.org/10.1007/s11192-022-04289-7 |
work_keys_str_mv | AT gusenbauermichael searchwhereyouwillfindmostcomparingthedisciplinarycoverageof56bibliographicdatabases |