Background: Bibliometric analysis is the quantitative analysis of measurable citation information of a journal. It unveils research topics, publishing trends, assess research impact, and productivity.
Aims: The purpose of this study was to conduct a bibliometric analysis to identify and analyze the top 50 most cited articles published in the (JCD).
Methodology: Clarivate Analytics' Web of Science was used to search and identify the 50 most cited scientific papers of JCD. Each article was then cross-matched with Google Scholar and PubMed databases and the mean citation was derived. In addition, citation density for each article was derived to negate the age of publication factor.
Statistical Analysis: Shapiro-Wilk test and Kolmogorov-Smirnov test were done to detect departures from normality. For testing and determining correlations among several variables, the Spearman rank test was performed.
Results: The top 50 most-cited articles received a total of 6263 (Google Scholar), 323 (PubMed), and 2056 (Web of Science) citations. Major topics of interest in the top 50 most-cited articles were dental material science ( = 18) and carious and noncarious lesion management ( = 14). There was no significant association between mean citation count and time since publication (correlation coefficient = 0.273, = 0.055). However, there was a significant negative association of citation density (correlation coefficient = -0.647, < 0.01) with time since publication.
Conclusions: Bibliometric analysis of top-cited articles gave valuable insights into journal's research history and progress of the journal concerning dissemination of scholarly work.
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http://dx.doi.org/10.4103/jcd.jcd_320_21 | DOI Listing |
Anal Cell Pathol (Amst)
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Department of Burn Surgery, The First Affiliated Hospital of Naval Medical University, People's Republic of China, Research Unit of Key Techniques for Treatment of Burns and Combined Burns and Trauma Injury, Chinese Academy of Medical Sciences, No. 168 Changhai Road, Shanghai 200433, China.
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View Article and Find Full Text PDFFront Sports Act Living
December 2024
Research Centre for Active Living and WellBeing (LiveWell), Bragança, Portugal.
The aim of this study was to conduct a scoping and bibliometric review of articles using artificial intelligence (AI) in tennis. The analysis covered various aspects of tennis, including performance, health, match results, physiological data, tennis expenditure, and prize amounts. Articles on AI in tennis published until 2024 were retrieved from the Web of Science database.
View Article and Find Full Text PDFActa Vet Scand
January 2025
Department of Clinical Sciences, Faculty of Veterinary Medicine and Animal Science, Swedish University of Agricultural Sciences, PO Box 7054, 750 07, Uppsala, Sweden.
Background: The societal value of cats, dogs and horses is high, and the companion and sport animal health care sector is growing. Clinical research concerning cats, dogs and horses is crucial for the development of evidence-based medical care that benefits animals and their owners, and has implications for human and environmental health from a One Health perspective. Basic information on companion animal and equine research enables more directed measures to improve conditions for research within the area.
View Article and Find Full Text PDFNeurosurg Rev
January 2025
School of Medicine, The University of Jordan, Amman, 11942, Jordan.
Deep brain stimulation (DBS) effectively treats Parkinson's disease (PD) motor symptoms, highlighting a gap in understanding current research trends and future directions. This study aims to analyze DBS literature systematically using bibliometric methods to map trends and identify opportunities. A total of 6,041 publications on DBS for PD from 1993 to 2023 were retrieved from the Web of Science Core Collection (WoSCC) on July 24, 2023.
View Article and Find Full Text PDFActa Ortop Mex
January 2025
Department of Orthopaedics and Joint Replacement Surgery. Indraprastha Apollo Hospitals, New Delhi, India.
No Abstract available.
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