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X Demographics
Mendeley readers
| Title |
A Community-Based Model of Care During the Fourth Wave of the COVID-19 Outbreak in Ho Chi Minh City, Vietnam
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, April 2022
|
| DOI | 10.3389/frai.2022.831841 |
| Pubmed ID | |
| Authors |
Lan N. Vuong, Nghia Huynh, Dat Q. Ngo, Vinh N. Nguyen, Khoa D. Duong, Nguyen N. Tran, Truyen P. Le, Nghia A. Nguyen, Thao T. P. Doan, Duy L. Pham, Tu H. K. Trinh, Quan T. T. Vu, Phong H. Nguyen, Tuan D. Tran |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 25% |
| Researcher | 1 | 8% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Professor | 1 | 8% |
| Unknown | 6 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 2 | 17% |
| Nursing and Health Professions | 1 | 8% |
| Environmental Science | 1 | 8% |
| Agricultural and Biological Sciences | 1 | 8% |
| Computer Science | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 6 | 50% |