Author/Authors :
Hassan Shah, Hamad School of Business - Nanjing University, Nanjing, China , Noor, Saleha School of Information Science and Engineering - East China University of Science and Technology, Shanghai, China , Saleem Butt, , Atif American University of Ras Al Khaimh - Ras Al Khaimah, United Arab Emirates , Halepoto, Habiba College of Information Science and Technology - Donghua University, Shanghai, China
Abstract :
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 sen timent platform through big data and machine learning. Conclusion: This study opened new avenues for all health care providers to utilize Twitter as a KM plat form to promote health care. This is the first bibliometric analysis of KMTH publications according to our best knowledge.
Keywords :
Twitter , Bibliometric analysis , Health promotion , Knowledge management
