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Predictors of Citations of Systematic Reviews in Oral Implantology: A Cross-Sectional Bibliometric Analysis

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  • Blake M. Louscher
  • Veerasathpurush Allareddy
  • Satheesh Elangovan

Abstract

Citation count is an important measure of academic productivity and evidence dissemination. This cross-sectional bibliometric assessment is aimed at identifying predictors of citations of systematic reviews (SRs) published in 2010 in the field of oral implantology. SRs published in the field of oral implantology in the year 2010 in three electronic databases were identified. Following which, data were extracted from selected SRs including number of authors, number of institutions, international collaboration status, number of references, and journal impact factor (JIF). Methodological quality of SR was evaluated separately using the “Assessing the Methodological Quality of Systematic Reviews†(AMSTAR) checklist. Bivariate associations between the extracted variables, including AMSTAR score, and citation count were examined. Simultaneous effect of all extracted variables and SR citation count were examined by a multivariable linear regression model. In the included 26 SRs, the number of authors and institutions ranged from 1 to 8 and 1 to 5, respectively. The JIF was on average 3.22 (±1.81), and the AMSTAR score ranged from 2 to 10. Total citations ranged from 0 to 123 in Web of Science and 1 to 245 in Google Scholar. Our analysis revealed a lack of significant ( p > .05) correlation between the extracted variables and citation count. No reliable indicator that could predict the citation counts for SRs published in 2010 in oral implantology was identified. Of importance was the lack of significant correlation between AMSTAR score and citation count, which underscores the importance of careful appraisal of SR before incorporating its findings in clinical practice.

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  • Blake M. Louscher & Veerasathpurush Allareddy & Satheesh Elangovan, 2019. "Predictors of Citations of Systematic Reviews in Oral Implantology: A Cross-Sectional Bibliometric Analysis," SAGE Open, , vol. 9(1), pages 21582440198, March.
    • Handle: RePEc:sae:sagope:v:9:y:2019:i:1:p:2158244019835941
    DOI: 10.1177/2158244019835941
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    References listed on IDEAS

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    1. Mutz, Rüdiger & Daniel, Hans-Dieter, 2012. "Skewed citation distributions and bias factors: Solutions to two core problems with the journal impact factor," Journal of Informetrics, Elsevier, vol. 6(2), pages 169-176.
    2. Alessandro Liberati & Douglas G Altman & Jennifer Tetzlaff & Cynthia Mulrow & Peter C Gøtzsche & John P A Ioannidis & Mike Clarke & P J Devereaux & Jos Kleijnen & David Moher, 2009. "The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-28, July.
    3. Hilda Bastian & Paul Glasziou & Iain Chalmers, 2010. "Seventy-Five Trials and Eleven Systematic Reviews a Day: How Will We Ever Keep Up?," PLOS Medicine, Public Library of Science, vol. 7(9), pages 1-6, September.
    4. Chalmers, I. & Fox, D.M., 2016. "Increasing the incidence and influence of systematic reviews on health policy and practice," American Journal of Public Health, American Public Health Association, vol. 106(1), pages 11-13.
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    Cited by:

    1. Hongquan Shen & Juan Xie & Jiang Li & Ying Cheng, 2021. "The correlation between scientific collaboration and citation count at the paper level: a meta-analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3443-3470, April.

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