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X Demographics
Mendeley readers
| Title |
Inferring the potential risks of H7N9 infection by spatiotemporally characterizing bird migration and poultry distribution in eastern China
|
|---|---|
| Published in |
Infectious Diseases of Poverty, May 2013
|
| DOI | 10.1186/2049-9957-2-8 |
| Pubmed ID | |
| Authors |
Benyun Shi, Shang Xia, Guo-Jing Yang, Xiao-Nong Zhou, Jiming Liu |
| Abstract |
In view of the rapid geographic spread and the increasing number of confirmed cases of novel influenza A(H7N9) virus infections in eastern China, we developed a diffusion model to spatiotemporally characterize the impacts of bird migration and poultry distribution on the geographic spread of H7N9 infection. |
X Demographics
The data shown below were collected from the profiles of 25 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 | 6 | 24% |
| United States | 5 | 20% |
| Panama | 1 | 4% |
| Unknown | 13 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 64% |
| Science communicators (journalists, bloggers, editors) | 4 | 16% |
| Practitioners (doctors, other healthcare professionals) | 3 | 12% |
| Scientists | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Indonesia | 1 | 3% |
| Sri Lanka | 1 | 3% |
| Vietnam | 1 | 3% |
| Unknown | 32 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 22% |
| Student > Ph. D. Student | 8 | 22% |
| Professor > Associate Professor | 4 | 11% |
| Student > Master | 4 | 11% |
| Professor | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 30% |
| Medicine and Dentistry | 10 | 27% |
| Mathematics | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Immunology and Microbiology | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 6 | 16% |