TikTok as a Health Information Source: Assessment of the Quality of Information in Diabetes-Related Videos
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doi.org/10.2196/30409 →Countries where authors are citing TikTok as a Health Information Source: Assessment of the Quality of Information in Diabetes-Related Videos
This map shows the geographic impact of TikTok as a Health Information Source: Assessment of the Quality of Information in Diabetes-Related Videos. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by TikTok as a Health Information Source: Assessment of the Quality of Information in Diabetes-Related Videos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites TikTok as a Health Information Source: Assessment of the Quality of Information in Diabetes-Related Videos more than expected).
Fields of papers citing TikTok as a Health Information Source: Assessment of the Quality of Information in Diabetes-Related Videos
This network shows the impact of TikTok as a Health Information Source: Assessment of the Quality of Information in Diabetes-Related Videos. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the TikTok as a Health Information Source: Assessment of the Quality of Information in Diabetes-Related Videos.
About TikTok as a Health Information Source: Assessment of the Quality of Information in Diabetes-Related Videos
This paper, published in 2021, received 222 indexed citations . Written by Shijie Song, Yuxiang Zhao and Qinghua Zhu covering the research area of General Health Professions and Health. It is primarily cited by scholars working on General Health Professions (124 citations), Health (110 citations) and Sociology and Political Science (59 citations). Published in Journal of Medical Internet Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/10.2196/30409.