The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Title |
ICT Enabled Disease Diagnosis, Treatment and Management—A Holistic Cost-Effective Approach Through Data Management and Analysis in UAE and India
|
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Published in |
Frontiers in Artificial Intelligence, June 2022
|
DOI | 10.3389/frai.2022.909101 |
Pubmed ID | |
Authors |
Manoj Kumar M V, Jagadish Patil, K. Aditya Shastry, Shiva Darshan, Nanda Kumar Bidare Sastry, Immanuel Azaad Moonesar, Shadi Atalla, Nasser Almuraqab, Ananth Rao |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 43% |
Netherlands | 1 | 14% |
Switzerland | 1 | 14% |
Unknown | 2 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 86% |
Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 13% |
Student > Bachelor | 4 | 9% |
Researcher | 4 | 9% |
Student > Ph. D. Student | 4 | 9% |
Unspecified | 3 | 7% |
Other | 6 | 13% |
Unknown | 19 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 5 | 11% |
Unspecified | 3 | 7% |
Medicine and Dentistry | 3 | 7% |
Psychology | 2 | 4% |
Social Sciences | 2 | 4% |
Other | 7 | 15% |
Unknown | 24 | 52% |