User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study

180 indexed citations
published 2023

Countries where authors are citing User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study

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Citations

This map shows the geographic impact of User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study. 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 User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study more than expected).

Fields of papers citing User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study.

About User Intentions to Use ChatGPT for Self-Diagnosis and Health-Related Purposes: Cross-sectional Survey Study

This paper, published in 2023, received 180 indexed citations . Written by Avishek Choudhury covering the research area of Health Informatics, Demography and Artificial Intelligence. It is primarily cited by scholars working on Health Informatics (115 citations), Artificial Intelligence (76 citations) and Radiology, Nuclear Medicine and Imaging (40 citations). Published in JMIR Human Factors.

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/10.2196/47564.

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