Unknown

Dataset Information

Vigorously cited: a bibliometric analysis of the 100 most cited sedentary behaviour articles.


ABSTRACT:

Objectives

No citation analysis has examined peer-reviewed sedentary behaviour research articles, which is needed to assess the impact of this research and identify knowledge gaps. Therefore, this study aimed to identify the 100 most cited sedentary behaviour articles and examine their bibliometric characteristics.

Methods

All databases indexed in the Web of Science database were searched in October 2022, and bibliometric characteristics of the studies, irrespective of the publication year, were imported and calculated. Descriptive statistics and visualisations by the VOSviewer were used for the presentation of bibliometric characteristics.

Results

The 100 most cited articles received 49,062 citations in total, with a median citation density of 32.5 citations per arti

SUBMITTER: Memon AR 

PROVIDER: S-EPMC11960230 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature