Impact of Collaboration on Research Quality: A Case Analysis of Dental Research

<p>Collaboration is a central aspect of research, with variable impact on research output and quality. Its assessment is commonly based on citation count, but this is an inadequate measure in biomedical research. The aim of this preliminary study is to determine the impact of collaboration at...

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Main Authors: Ricardo Cartes-Velásquez, Carlos Manterola
Format: Article
Language:English
Published: Regional Information Center for Science and Technology (RICeST) 2016-12-01
Series:International Journal of Information Science and Management
Online Access:https://ijism.ricest.ac.ir/index.php/ijism/article/view/939
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spelling doaj-9505758e19e6497c8281d672272b0f022020-11-25T02:59:17ZengRegional Information Center for Science and Technology (RICeST)International Journal of Information Science and Management 2008-83022008-83102016-12-01151273Impact of Collaboration on Research Quality: A Case Analysis of Dental ResearchRicardo Cartes-Velásquez0Carlos Manterola1Assistant Professor, School of Dentistry, Universidad de Concepción, Concepción, ChileFull Professor, PhD Program in Medical Sciences, Faculty of Medicine, Universidad de La Frontera, Temuco, Chile.<p>Collaboration is a central aspect of research, with variable impact on research output and quality. Its assessment is commonly based on citation count, but this is an inadequate measure in biomedical research. The aim of this preliminary study is to determine the impact of collaboration at three levels on the quality of dental therapy research using a valid and reliable instrument. Ninety-nine papers published in four ISI dental journals were analyzed using the MINCIR scale for methodological quality (MQ). Correlations and a linear regression model were used to determine the impact of collaboration on MQ. There was a positive and significant correlation between MQ and number of authors (r=0.2991; p=0.0026) and countries (r=0.2253; p=0.0249), but not institutions (r=0.1750; p=0.0832). The linear regression model for MQ explains 20.32% of the variance; only the number of authors and journal quartile were significant. Collaboration has little impact on MQ in this area.</p>https://ijism.ricest.ac.ir/index.php/ijism/article/view/939
collection DOAJ
language English
format Article
sources DOAJ
author Ricardo Cartes-Velásquez
Carlos Manterola
spellingShingle Ricardo Cartes-Velásquez
Carlos Manterola
Impact of Collaboration on Research Quality: A Case Analysis of Dental Research
International Journal of Information Science and Management
author_facet Ricardo Cartes-Velásquez
Carlos Manterola
author_sort Ricardo Cartes-Velásquez
title Impact of Collaboration on Research Quality: A Case Analysis of Dental Research
title_short Impact of Collaboration on Research Quality: A Case Analysis of Dental Research
title_full Impact of Collaboration on Research Quality: A Case Analysis of Dental Research
title_fullStr Impact of Collaboration on Research Quality: A Case Analysis of Dental Research
title_full_unstemmed Impact of Collaboration on Research Quality: A Case Analysis of Dental Research
title_sort impact of collaboration on research quality: a case analysis of dental research
publisher Regional Information Center for Science and Technology (RICeST)
series International Journal of Information Science and Management
issn 2008-8302
2008-8310
publishDate 2016-12-01
description <p>Collaboration is a central aspect of research, with variable impact on research output and quality. Its assessment is commonly based on citation count, but this is an inadequate measure in biomedical research. The aim of this preliminary study is to determine the impact of collaboration at three levels on the quality of dental therapy research using a valid and reliable instrument. Ninety-nine papers published in four ISI dental journals were analyzed using the MINCIR scale for methodological quality (MQ). Correlations and a linear regression model were used to determine the impact of collaboration on MQ. There was a positive and significant correlation between MQ and number of authors (r=0.2991; p=0.0026) and countries (r=0.2253; p=0.0249), but not institutions (r=0.1750; p=0.0832). The linear regression model for MQ explains 20.32% of the variance; only the number of authors and journal quartile were significant. Collaboration has little impact on MQ in this area.</p>
url https://ijism.ricest.ac.ir/index.php/ijism/article/view/939
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