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The Impact of Article Length on the Number of Future Citations: A Bibliometric Analysis of General Medicine Journals

BACKGROUND: The number of citations received is considered an index of study quality and impact. We aimed to examine the factors associated with the number of citations of published articles, focusing on the article length. METHODS: Original human studies published in the first trimester of 2006 in...

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Autores principales: Falagas, Matthew E., Zarkali, Angeliki, Karageorgopoulos, Drosos E., Bardakas, Vangelis, Mavros, Michael N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3566179/
https://www.ncbi.nlm.nih.gov/pubmed/23405060
http://dx.doi.org/10.1371/journal.pone.0049476
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author Falagas, Matthew E.
Zarkali, Angeliki
Karageorgopoulos, Drosos E.
Bardakas, Vangelis
Mavros, Michael N.
author_facet Falagas, Matthew E.
Zarkali, Angeliki
Karageorgopoulos, Drosos E.
Bardakas, Vangelis
Mavros, Michael N.
author_sort Falagas, Matthew E.
collection PubMed
description BACKGROUND: The number of citations received is considered an index of study quality and impact. We aimed to examine the factors associated with the number of citations of published articles, focusing on the article length. METHODS: Original human studies published in the first trimester of 2006 in 5 major General Medicine journals were analyzed with regard to the number of authors and of author-affiliated institutions, title and abstract word count, article length (number of print pages), number of bibliographic references, study design, and 2006 journal impact factor (JIF). A multiple linear regression model was employed to identify the variables independently associated with the number of article citations received through January 2012. RESULTS: On univariate analysis the JIF, number of authors, article length, study design (interventional/observational and prospective/retrospective), title and abstract word count, number of author-affiliated institutions, and number of references were all associated with the number of citations received. On multivariate analysis with the logarithm of citations as the dependent variable, only article length [regression coefficient: 14.64 (95% confidence intervals: (5.76–23.50)] and JIF [3.37 (1.80–4.948)] independently predicted the number of citations. The variance of citations explained by these parameters was 51.2%. CONCLUSION: In a sample of articles published in major General Medicine journals, in addition to journal impact factors, article length and number of authors independently predicted the number of citations. This may reflect a higher complexity level and quality of longer and multi-authored studies.
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spelling pubmed-35661792013-02-12 The Impact of Article Length on the Number of Future Citations: A Bibliometric Analysis of General Medicine Journals Falagas, Matthew E. Zarkali, Angeliki Karageorgopoulos, Drosos E. Bardakas, Vangelis Mavros, Michael N. PLoS One Research Article BACKGROUND: The number of citations received is considered an index of study quality and impact. We aimed to examine the factors associated with the number of citations of published articles, focusing on the article length. METHODS: Original human studies published in the first trimester of 2006 in 5 major General Medicine journals were analyzed with regard to the number of authors and of author-affiliated institutions, title and abstract word count, article length (number of print pages), number of bibliographic references, study design, and 2006 journal impact factor (JIF). A multiple linear regression model was employed to identify the variables independently associated with the number of article citations received through January 2012. RESULTS: On univariate analysis the JIF, number of authors, article length, study design (interventional/observational and prospective/retrospective), title and abstract word count, number of author-affiliated institutions, and number of references were all associated with the number of citations received. On multivariate analysis with the logarithm of citations as the dependent variable, only article length [regression coefficient: 14.64 (95% confidence intervals: (5.76–23.50)] and JIF [3.37 (1.80–4.948)] independently predicted the number of citations. The variance of citations explained by these parameters was 51.2%. CONCLUSION: In a sample of articles published in major General Medicine journals, in addition to journal impact factors, article length and number of authors independently predicted the number of citations. This may reflect a higher complexity level and quality of longer and multi-authored studies. Public Library of Science 2013-02-06 /pmc/articles/PMC3566179/ /pubmed/23405060 http://dx.doi.org/10.1371/journal.pone.0049476 Text en © 2013 Falagas et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Falagas, Matthew E.
Zarkali, Angeliki
Karageorgopoulos, Drosos E.
Bardakas, Vangelis
Mavros, Michael N.
The Impact of Article Length on the Number of Future Citations: A Bibliometric Analysis of General Medicine Journals
title The Impact of Article Length on the Number of Future Citations: A Bibliometric Analysis of General Medicine Journals
title_full The Impact of Article Length on the Number of Future Citations: A Bibliometric Analysis of General Medicine Journals
title_fullStr The Impact of Article Length on the Number of Future Citations: A Bibliometric Analysis of General Medicine Journals
title_full_unstemmed The Impact of Article Length on the Number of Future Citations: A Bibliometric Analysis of General Medicine Journals
title_short The Impact of Article Length on the Number of Future Citations: A Bibliometric Analysis of General Medicine Journals
title_sort impact of article length on the number of future citations: a bibliometric analysis of general medicine journals
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3566179/
https://www.ncbi.nlm.nih.gov/pubmed/23405060
http://dx.doi.org/10.1371/journal.pone.0049476
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