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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...

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Detalles Bibliográficos
Autores principales: Richtig, Georg, Berger, Marina, Koeller, Max, Richtig, Markus, Richtig, Erika, Scheffel, Jörg, Maurer, Marcus, Siebenhaar, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
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.
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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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