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Published on: July 7, 2013
Bibliometric analysis of factors predicting increased citations in the vascular and endovascular literature
George A Antoniou1, Stavros A Antoniou2, Efstratios I Georgakarakos3
1Department of Vascular Surgery, Northern Vascular Centre, Freeman Hospital, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK.
Background:
Dissemination of research findings in the scientific community is reflected by the citation count. Our objective was to investigate the relative citation impact of vascular research studies and identify potential predictors of increased citation rates.
Methods:
Articles published in leading journals of vascular and general surgery (Journal of Vascular Surgery, European Journal of Vascular and Endovascular Surgery, Journal of Endovascular Therapy, Annals of Vascular Surgery and Annals of Surgery, British Journal of Surgery, Journal of the American College of Surgeons, and JAMA Surgery) during a 4-month period were identified through electronic databases. Variables potentially associated with increased citation rates, including subject, design, title characteristics, article length, bibliographic references, authorship, geographic distribution, interdisciplinary collaboration, article access, and funding, were assessed in univariate and multiple linear regression models through December 2012.
Results:
A total of 226 articles with a total number of 4,605 citations were identified. Univariate analysis revealed that endovascular-related studies, study design, studies reporting design in the title, long articles, and studies with high number of references were associated with higher citation rates. On multivariate analysis, 3 variables were found to independently predict the number of citations: study subject (endovascular-related studies; regression coefficient [95% confidence interval], 0.474 [0.240-0.708]; P < 0.001); study design (randomized controlled trial; regression coefficient [95% confidence interval], 0.575 [0.145-1.005]; P = 0.009); and article length (number of pages; regression coefficient [95% confidence interval], 0.069 [0.016-0.123]; P = 0.011).
Conclusions:
Authors involved in vascular research may enhance the impact of their work by embarking on research strategies of high methodologic quality and pursuing work related with new technologies and evolving endovascular therapies.
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