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X Demographics
Mendeley readers
| Title |
COVID-19 seeding time and doubling time model: an early epidemic risk assessment tool
|
|---|---|
| Published in |
Infectious Diseases of Poverty, June 2020
|
| DOI | 10.1186/s40249-020-00685-4 |
| Pubmed ID | |
| Authors |
Lei Zhou, Jiang-Mei Liu, Xiao-Ping Dong, Jennifer M. McGoogan, Zun-You Wu |
X Demographics
The data shown below were collected from the profiles of 2 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 States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 12% |
| Student > Bachelor | 9 | 12% |
| Researcher | 8 | 11% |
| Other | 8 | 11% |
| Student > Ph. D. Student | 5 | 7% |
| Other | 14 | 18% |
| Unknown | 23 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 24% |
| Agricultural and Biological Sciences | 6 | 8% |
| Nursing and Health Professions | 5 | 7% |
| Social Sciences | 5 | 7% |
| Mathematics | 3 | 4% |
| Other | 11 | 14% |
| Unknown | 28 | 37% |