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X Demographics
Mendeley readers
| Title |
Transmission patterns of COVID-19 in the mainland of China and the efficacy of different control strategies: a data- and model-driven study
|
|---|---|
| Published in |
Infectious Diseases of Poverty, July 2020
|
| DOI | 10.1186/s40249-020-00709-z |
| Pubmed ID | |
| Authors |
Jian Zu, Miao-Lei Li, Zong-Fang Li, Ming-Wang Shen, Yan-Ni Xiao, Fan-Pu Ji |
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 % |
|---|---|---|
| United States | 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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 149 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 12% |
| Student > Bachelor | 17 | 11% |
| Student > Master | 15 | 10% |
| Student > Ph. D. Student | 12 | 8% |
| Other | 11 | 7% |
| Other | 26 | 17% |
| Unknown | 50 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 13% |
| Nursing and Health Professions | 15 | 10% |
| Agricultural and Biological Sciences | 6 | 4% |
| Environmental Science | 6 | 4% |
| Computer Science | 6 | 4% |
| Other | 40 | 27% |
| Unknown | 56 | 38% |