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 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.
| Original language | English |
|---|---|
| Pages (from-to) | 2283-2291 |
| Number of pages | 9 |
| Journal | Iranian Journal of Public Health |
| Volume | 50 |
| Issue number | 11 |
| State | Published - 2021 |
Keywords
- Bibliometric analysis
- Health promotion
- Knowledge management
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