Open AccessTwitter Research Synthesis for Health Promotion: A Bibliometric Analysis
Author(s) -
Syed Hamad Hassan Shah,
Saleha Noor,
Atif Saleem Butt,
Habiba Halepoto
Publication year - 2021
Publication title -
iranian journal of public health
Language(s) - English
Resource type - Journals
eISSN - 2251-6093
pISSN - 2251-6085
DOI - 10.18502/ijph.v50i11.7584
Subject(s) - health promotion , promotion (chess) , cluster (spacecraft) , data science , web of science , health care , world wide web , public health , computer science , medline , medicine , political science , nursing , politics , law , programming language
Background: This study enriched our understanding by systematically reviewing knowledge management twitter health (KMTH) articles extracted from Web of Science (WoS) using cartography analysis through VOSviewer–for the last 11 years.
Methods: A total of 798 KMTH articles were found from 2009 to 2019, analyzed based on the most co-occurrence keywords of KMTH articles.
Results: Three clusters emerged through cartography analysis; Cluster 1: Twitter as health education and health promotion platform; Cluster 2: Twitter as public health promotion platform and Cluster 3: Twitter as health sentiment platform through big data and machine learning.
Conclusion: This study opened new avenues for all health care providers to utilize Twitter as a KM platform to promote health care. This is the first bibliometric analysis of KMTH publications according to our best knowledge.