Classification and citation analysis of the 100 top-cited articles on nurse resilience using chord diagrams: A bibliometric analysis.

ABSTRACT:

Background

Studies of most-cited articles have been frequently conducted on various topics and in various medical fields. To date, no study has examined the characteristics of articles associated with theme classifications and research achievements of article entities related to nursing resilience. This study aims to graphically depict the characteristics of the 100 top-cited articles addressing nurse resilience (T100NurseR), diagram the relationship between articles and author collaborations according to themes extracted from article keywords, and examine whether article keywords are correlated with article citations.

Methods

T100NurseR publications were retrieved from the Web of Science (WoS) core collection on October 13, 2022. Themes associated with articles were explore

SUBMITTER: Chiang HY 

PROVIDER: S-EPMC10019250 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature