Unknown

Dataset Information

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


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 a

SUBMITTER: Karaismailoglu B 

PROVIDER: S-EPMC9459677 | biostudies-literature | 2022 Nov-Dec

REPOSITORIES: biostudies-literature