| Title |
Personalizing symptom monitoring and contact tracing efforts through a COVID-19 web-app
|
|---|---|
| Published in |
Infectious Diseases of Poverty, July 2020
|
| DOI | 10.1186/s40249-020-00711-5 |
| Pubmed ID | |
| Authors |
Kevin Yi-Lwern Yap, Qihuang Xie |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Singapore | 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 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 194 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 10% |
| Student > Bachelor | 18 | 9% |
| Researcher | 14 | 7% |
| Student > Ph. D. Student | 14 | 7% |
| Other | 12 | 6% |
| Other | 40 | 21% |
| Unknown | 77 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 10% |
| Nursing and Health Professions | 14 | 7% |
| Psychology | 13 | 7% |
| Business, Management and Accounting | 11 | 6% |
| Computer Science | 9 | 5% |
| Other | 39 | 20% |
| Unknown | 88 | 45% |