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Predatory journals: Perception, impact and use of Beall’s list by the scientific community–A bibliometric big data study
Beall’s list is widely used to identify potentially predatory journals. With this study, we aim to investigate the impact of Beall’s list on the perception of listed journals as well as on the publication and citation behavior of the scientific community. We performed comprehensive bibliometric anal...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328228/ https://www.ncbi.nlm.nih.gov/pubmed/37418379 http://dx.doi.org/10.1371/journal.pone.0287547 |
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author | Richtig, Georg Berger, Marina Koeller, Max Richtig, Markus Richtig, Erika Scheffel, Jörg Maurer, Marcus Siebenhaar, Frank |
author_facet | Richtig, Georg Berger, Marina Koeller, Max Richtig, Markus Richtig, Erika Scheffel, Jörg Maurer, Marcus Siebenhaar, Frank |
author_sort | Richtig, Georg |
collection | PubMed |
description | Beall’s list is widely used to identify potentially predatory journals. With this study, we aim to investigate the impact of Beall’s list on the perception of listed journals as well as on the publication and citation behavior of the scientific community. We performed comprehensive bibliometric analyses of data extracted from the ISSN database, PubMed, PubMed Central (PMC), Crossref, Scopus and Web of Science. Citation analysis was performed by data extracted from the Crossref Cited-by database. At the time of analysis, Beall’s list consisted of 1,289 standalone journals and 1,162 publishers, which corresponds to 21,735 individual journals. Of these, 3,206 (38.8%) were located in the United States, 2,484 in India (30.0%), and 585 in United Kingdom (7.1%). The majority of journals were listed in the ISSN database (n = 8,266), Crossref (n = 5,155), PubMed (n = 1,139), Scopus (n = 570), DOAJ (n = 224), PMC (n = 135) or Web of Science (n = 50). The number of articles published by journals on Beall’s list as well as on the DOAJ continuously increased from 2011 to 2017. In 2018, the number of articles published by journals on Beall’s list decreased. Journals on Beall’s list were more often cited when listed in Web of Science (CI 95% 5.5 to 21.5; OR = 10.7) and PMC (CI 95% 6.3 to 14.1; OR = 9.4). It seems that the importance of Beall’s list for the scientific community is overestimated. In contrast, journals are more likely to be selected for publication or citation when indexed by commonly used and renowned databases. Thus, the providers of these databases must be aware of their impact and verify that good publication practice standards are being applied by the journals listed. |
format | Online Article Text |
id | pubmed-10328228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-103282282023-07-08 Predatory journals: Perception, impact and use of Beall’s list by the scientific community–A bibliometric big data study Richtig, Georg Berger, Marina Koeller, Max Richtig, Markus Richtig, Erika Scheffel, Jörg Maurer, Marcus Siebenhaar, Frank PLoS One Research Article Beall’s list is widely used to identify potentially predatory journals. With this study, we aim to investigate the impact of Beall’s list on the perception of listed journals as well as on the publication and citation behavior of the scientific community. We performed comprehensive bibliometric analyses of data extracted from the ISSN database, PubMed, PubMed Central (PMC), Crossref, Scopus and Web of Science. Citation analysis was performed by data extracted from the Crossref Cited-by database. At the time of analysis, Beall’s list consisted of 1,289 standalone journals and 1,162 publishers, which corresponds to 21,735 individual journals. Of these, 3,206 (38.8%) were located in the United States, 2,484 in India (30.0%), and 585 in United Kingdom (7.1%). The majority of journals were listed in the ISSN database (n = 8,266), Crossref (n = 5,155), PubMed (n = 1,139), Scopus (n = 570), DOAJ (n = 224), PMC (n = 135) or Web of Science (n = 50). The number of articles published by journals on Beall’s list as well as on the DOAJ continuously increased from 2011 to 2017. In 2018, the number of articles published by journals on Beall’s list decreased. Journals on Beall’s list were more often cited when listed in Web of Science (CI 95% 5.5 to 21.5; OR = 10.7) and PMC (CI 95% 6.3 to 14.1; OR = 9.4). It seems that the importance of Beall’s list for the scientific community is overestimated. In contrast, journals are more likely to be selected for publication or citation when indexed by commonly used and renowned databases. Thus, the providers of these databases must be aware of their impact and verify that good publication practice standards are being applied by the journals listed. Public Library of Science 2023-07-07 /pmc/articles/PMC10328228/ /pubmed/37418379 http://dx.doi.org/10.1371/journal.pone.0287547 Text en © 2023 Richtig et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Richtig, Georg Berger, Marina Koeller, Max Richtig, Markus Richtig, Erika Scheffel, Jörg Maurer, Marcus Siebenhaar, Frank Predatory journals: Perception, impact and use of Beall’s list by the scientific community–A bibliometric big data study |
title | Predatory journals: Perception, impact and use of Beall’s list by the scientific community–A bibliometric big data study |
title_full | Predatory journals: Perception, impact and use of Beall’s list by the scientific community–A bibliometric big data study |
title_fullStr | Predatory journals: Perception, impact and use of Beall’s list by the scientific community–A bibliometric big data study |
title_full_unstemmed | Predatory journals: Perception, impact and use of Beall’s list by the scientific community–A bibliometric big data study |
title_short | Predatory journals: Perception, impact and use of Beall’s list by the scientific community–A bibliometric big data study |
title_sort | predatory journals: perception, impact and use of beall’s list by the scientific community–a bibliometric big data study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328228/ https://www.ncbi.nlm.nih.gov/pubmed/37418379 http://dx.doi.org/10.1371/journal.pone.0287547 |
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