The impact of article length on the number of future citations: a bibliometric analysis of general medicine journals.

<h4>Background</h4>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.<h4>Methods</h4>Original human studies publish...

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Autores principales:	Matthew E Falagas, Angeliki Zarkali, Drosos E Karageorgopoulos, Vangelis Bardakas, Michael N Mavros
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/df8942b029f342888e73c70bc34c2991
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spelling	oai:doaj.org-article:df8942b029f342888e73c70bc34c29912021-11-18T07:58:45ZThe impact of article length on the number of future citations: a bibliometric analysis of general medicine journals.1932-620310.1371/journal.pone.0049476https://doaj.org/article/df8942b029f342888e73c70bc34c29912013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23405060/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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%.<h4>Conclusion</h4>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.Matthew E FalagasAngeliki ZarkaliDrosos E KarageorgopoulosVangelis BardakasMichael N MavrosPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 2, p e49476 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Matthew E Falagas Angeliki Zarkali Drosos E Karageorgopoulos Vangelis Bardakas Michael N Mavros The impact of article length on the number of future citations: a bibliometric analysis of general medicine journals.
description	<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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%.<h4>Conclusion</h4>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	article
author	Matthew E Falagas Angeliki Zarkali Drosos E Karageorgopoulos Vangelis Bardakas Michael N Mavros
author_facet	Matthew E Falagas Angeliki Zarkali Drosos E Karageorgopoulos Vangelis Bardakas Michael N Mavros
author_sort	Matthew E Falagas
title	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_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_sort	impact of article length on the number of future citations: a bibliometric analysis of general medicine journals.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/df8942b029f342888e73c70bc34c2991
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The impact of article length on the number of future citations: a bibliometric analysis of general medicine journals.

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