Literature DB >> 36090782

Bibliometric analysis of 100 most influential papers related to septic arthritis of native joints.

Berna Karaismailoglu1, Ali Egemen Koroglu2, Arin Celayir2, Bedri Karaismailoglu2.   

Abstract

Aim: Bibliometric studies have gained popularity since they are able to define the characteristics of articles on specific subjects. The aim of this study was to analyze the characteristics of 100 most-cited papers related to septic arthritis of the native joints.
Methods: Web of Science database was analyzed and 100 most-cited articles about septic arthritis were determined. The characteristics of the articles including publication year, country, journal, study type, and sponsorship were recorded and investigated for any possible relationship with citation numbers. The visualization of the most commonly used keywords was made by software.
Results: The highest citation number and density were 309 and 21.6, respectively. The highest contribution was from the USA with 44 articles. The most common study type was case series with 26 articles. Annals of the Rheumatic Diseases journal had the highest number of articles with 8 papers. Fifteen studies were funded. The average citation density of review articles was significantly higher than in clinical and basic science studies (p < 0.001). Citation density was positively correlated with publication year and institution number, while it was negatively correlated with the level of evidence.
Conclusion: This study summarizes the general characteristics and research trends of the 100 most influential septic arthritis papers. Citation density and level of evidence performance were better in more recent articles. Additionally, citation density was higher in papers that included contributions from multiple institutions and papers with a high level of evidence. However, a high level of evidence is lacking indicating the need for better study design in future research.
© 2022 Professor P K Surendran Memorial Education Foundation. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bibliometric; Citation; Citation density; Native joints; Septic arthritis

Year:  2022        PMID: 36090782      PMCID: PMC9459677          DOI: 10.1016/j.jor.2022.08.028

Source DB:  PubMed          Journal:  J Orthop        ISSN: 0972-978X


  13 in total

Review 1.  Bacterial septic arthritis in adults.

Authors:  Catherine J Mathews; Vivienne C Weston; Adrian Jones; Max Field; Gerald Coakley
Journal:  Lancet       Date:  2010-03-06       Impact factor: 79.321

2.  A Bibliometric Analysis of 4 Major Foot and Ankle Surgery Journals.

Authors:  Philip M Frazer; Giuseppe Pastore; Adele K McGarry; Tom P Walsh; Simon R Platt
Journal:  J Foot Ankle Surg       Date:  2021-01-19       Impact factor: 1.286

3.  The global state of clinical research and trends in periprosthetic joint infection: A bibliometric analysis.

Authors:  Cheng Li; Cristina Ojeda-Thies; Nora Renz; Donara Margaryan; Carsten Perka; Andrej Trampuz
Journal:  Int J Infect Dis       Date:  2020-05-17       Impact factor: 3.623

Review 4.  Septic Arthritis of Native Joints.

Authors:  John J Ross
Journal:  Infect Dis Clin North Am       Date:  2017-03-30       Impact factor: 5.982

5.  The global state of research and trends in osteomyelitis from 2010 to 2019: a 10-year bibliometric analysis.

Authors:  Peisheng Chen; Xiaofeng Lin; Bin Chen; Ke Zheng; Chaohui Lin; Bin Yu; Fengfei Lin
Journal:  Ann Palliat Med       Date:  2021-02-24

Review 6.  Acute septic arthritis.

Authors:  Mark E Shirtliff; Jon T Mader
Journal:  Clin Microbiol Rev       Date:  2002-10       Impact factor: 26.132

7.  Top 100 cited articles on infection in orthopaedics: A bibliometric analysis.

Authors:  Yu Jiang; Renjing Hu; Guoxing Zhu
Journal:  Medicine (Baltimore)       Date:  2019-01       Impact factor: 1.889

Review 8.  Trends of spinal tuberculosis research (1994-2015): A bibliometric study.

Authors:  Yiran Wang; Qijin Wang; Rongbo Zhu; Changwei Yang; Ziqiang Chen; Yushu Bai; Ming Li; Xiao Zhai
Journal:  Medicine (Baltimore)       Date:  2016-09       Impact factor: 1.889

9.  Meta-analysis in periprosthetic joint infection: a global bibliometric analysis.

Authors:  Cheng Li; Christina Ojeda-Thies; Chi Xu; Andrej Trampuz
Journal:  J Orthop Surg Res       Date:  2020-07-10       Impact factor: 2.359

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