| Title |
Using the spike protein feature to predict infection risk and monitor the evolutionary dynamic of coronavirus
|
|---|---|
| Published in |
Infectious Diseases of Poverty, March 2020
|
| DOI | 10.1186/s40249-020-00649-8 |
| Pubmed ID | |
| Authors |
Xiao-Li Qiang, Peng Xu, Gang Fang, Wen-Bin Liu, Zheng Kou |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 396 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 396 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 61 | 15% |
| Student > Master | 46 | 12% |
| Student > Ph. D. Student | 39 | 10% |
| Student > Bachelor | 29 | 7% |
| Other | 25 | 6% |
| Other | 103 | 26% |
| Unknown | 93 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 73 | 18% |
| Biochemistry, Genetics and Molecular Biology | 38 | 10% |
| Agricultural and Biological Sciences | 24 | 6% |
| Nursing and Health Professions | 20 | 5% |
| Immunology and Microbiology | 17 | 4% |
| Other | 99 | 25% |
| Unknown | 125 | 32% |