| Title |
How Shenzhen, China avoided widespread community transmission: a potential model for successful prevention and control of COVID-19
|
|---|---|
| Published in |
Infectious Diseases of Poverty, July 2020
|
| DOI | 10.1186/s40249-020-00714-2 |
| Pubmed ID | |
| Authors |
Huachun Zou, Yuelong Shu, Tiejian Feng |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 14% |
| United States | 2 | 9% |
| Switzerland | 1 | 5% |
| Canada | 1 | 5% |
| Japan | 1 | 5% |
| China | 1 | 5% |
| Austria | 1 | 5% |
| India | 1 | 5% |
| Unknown | 11 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 91% |
| Scientists | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 179 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 28 | 16% |
| Researcher | 20 | 11% |
| Student > Ph. D. Student | 19 | 11% |
| Student > Bachelor | 19 | 11% |
| Other | 12 | 7% |
| Other | 34 | 19% |
| Unknown | 47 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 13% |
| Nursing and Health Professions | 14 | 8% |
| Psychology | 12 | 7% |
| Social Sciences | 10 | 6% |
| Business, Management and Accounting | 9 | 5% |
| Other | 50 | 28% |
| Unknown | 60 | 34% |