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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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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. |
format | Online Article Text |
id | pubmed-3566179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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