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Improving the Reliability of Literature Reviews: Detection of Retracted Articles through Academic Search Engines

Nowadays, a multitude of scientific publications on health science are being developed that require correct bibliographic search in order to avoid the use and inclusion of retracted literature in them. The use of these articles could directly affect the consistency of the scientific studies and coul...

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Autores principales: Pastor-Ramón, Elena, Herrera-Peco, Ivan, Agirre, Oskia, García-Puente, María, Morán, José María
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140878/
https://www.ncbi.nlm.nih.gov/pubmed/35621514
http://dx.doi.org/10.3390/ejihpe12050034
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author Pastor-Ramón, Elena
Herrera-Peco, Ivan
Agirre, Oskia
García-Puente, María
Morán, José María
author_facet Pastor-Ramón, Elena
Herrera-Peco, Ivan
Agirre, Oskia
García-Puente, María
Morán, José María
author_sort Pastor-Ramón, Elena
collection PubMed
description Nowadays, a multitude of scientific publications on health science are being developed that require correct bibliographic search in order to avoid the use and inclusion of retracted literature in them. The use of these articles could directly affect the consistency of the scientific studies and could affect clinical practice. The aim of the present study was to evaluate the capacity of the main scientific literature search engines, both general (Gooogle Scholar) and scientific (PubMed, EMBASE, SCOPUS, and Web of Science), used in health sciences in order to check their ability to detect and warn users of retracted articles in the searches carried out. The sample of retracted articles was obtained from RetractionWatch. The results showed that although Google Scholar was the search engine with the highest capacity to retrieve selected articles, it was the least effective, compared with scientific search engines, at providing information on the retraction of articles. The use of different scientific search engines to retrieve as many scientific articles as possible, as well as never using only a generic search engine, is highly recommended. This will reduce the possibility of including retracted articles and will avoid affecting the reliability of the scientific studies carried out.
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spelling pubmed-91408782022-05-28 Improving the Reliability of Literature Reviews: Detection of Retracted Articles through Academic Search Engines Pastor-Ramón, Elena Herrera-Peco, Ivan Agirre, Oskia García-Puente, María Morán, José María Eur J Investig Health Psychol Educ Article Nowadays, a multitude of scientific publications on health science are being developed that require correct bibliographic search in order to avoid the use and inclusion of retracted literature in them. The use of these articles could directly affect the consistency of the scientific studies and could affect clinical practice. The aim of the present study was to evaluate the capacity of the main scientific literature search engines, both general (Gooogle Scholar) and scientific (PubMed, EMBASE, SCOPUS, and Web of Science), used in health sciences in order to check their ability to detect and warn users of retracted articles in the searches carried out. The sample of retracted articles was obtained from RetractionWatch. The results showed that although Google Scholar was the search engine with the highest capacity to retrieve selected articles, it was the least effective, compared with scientific search engines, at providing information on the retraction of articles. The use of different scientific search engines to retrieve as many scientific articles as possible, as well as never using only a generic search engine, is highly recommended. This will reduce the possibility of including retracted articles and will avoid affecting the reliability of the scientific studies carried out. MDPI 2022-05-04 /pmc/articles/PMC9140878/ /pubmed/35621514 http://dx.doi.org/10.3390/ejihpe12050034 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pastor-Ramón, Elena
Herrera-Peco, Ivan
Agirre, Oskia
García-Puente, María
Morán, José María
Improving the Reliability of Literature Reviews: Detection of Retracted Articles through Academic Search Engines
title Improving the Reliability of Literature Reviews: Detection of Retracted Articles through Academic Search Engines
title_full Improving the Reliability of Literature Reviews: Detection of Retracted Articles through Academic Search Engines
title_fullStr Improving the Reliability of Literature Reviews: Detection of Retracted Articles through Academic Search Engines
title_full_unstemmed Improving the Reliability of Literature Reviews: Detection of Retracted Articles through Academic Search Engines
title_short Improving the Reliability of Literature Reviews: Detection of Retracted Articles through Academic Search Engines
title_sort improving the reliability of literature reviews: detection of retracted articles through academic search engines
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140878/
https://www.ncbi.nlm.nih.gov/pubmed/35621514
http://dx.doi.org/10.3390/ejihpe12050034
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