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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
The 50 Most-Cited Articles in Meniscal Allograft Transplantation Research: A Bibliometric Analysis
Zaira S Chaudhry1, Brianna Fram1, R Frank Henn2
11 Rothman Institute at Thomas Jefferson University, Philadelphia, PA, USA.
Objective:
To identify the 50 most-cited articles in meniscal allograft transplantation (MAT) research and analyze their characteristics.
Design:
In September 2017, the Scopus database was queried to identify the 50 most-cited articles in MAT research. Variables analyzed include number of citations, publication year, journal, institution, country of origin, article type, study design, and level of evidence. Citation density was calculated for each article. The correlation between citation density and publication year and the correlation between level of evidence and number of citations, citation density, and publication year were computed.
Results:
The 50 most-cited articles were published in 12 journals between 1986 and 2011. The number of citations ranged from 59 to 290 (109.3 ± 48.6). Citation density ranged from 2.7 to 17.6 citations per year (7.0 ± 3.3). There was a positive correlation between citation density and publication year ( r = +0.489, P < 0.001). Overall, 56% of the articles were clinical and 44% were basic science. Of the 28 clinical articles, 61% were level IV or V evidence. Level of evidence was not significantly correlated with number of citations ( r = -0.059, P = 0.766), citation density ( r = +0.030, P = 0.880), or publication year ( r = -0.0009, P = 0.996).
Conclusion:
This analysis provides the orthopedic community with a readily accessible list of the classic citations in MAT research and provides insight into the historical development of this procedure. Although there was a moderate positive correlation between citation density and publication year, articles with stronger levels of evidence were not more frequently cited despite the increasing trend toward evidence-based practice.
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