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X Demographics
Mendeley readers
| Title |
Optimization of COVID-19 prevention and control measures during the Beijing 2022 Winter Olympics: a model-based study
|
|---|---|
| Published in |
Infectious Diseases of Poverty, September 2022
|
| DOI | 10.1186/s40249-022-01019-2 |
| Pubmed ID | |
| Authors |
Lingcai Kong, Mengwei Duan, Jin Shi, Jie Hong, Xuan Zhou, Xinyi Yang, Zheng Zhao, Jiaqi Huang, Xi Chen, Yun Yin, Ke Li, Yuanhua Liu, Jinggang Liu, Xiaozhe Wang, Po Zhang, Xiyang Xie, Fei Li, Zhaorui Chang, Zhijie Zhang |
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 % |
|---|---|---|
| China | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 13% |
| Librarian | 1 | 7% |
| Student > Postgraduate | 1 | 7% |
| Lecturer > Senior Lecturer | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 9 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 1 | 7% |
| Arts and Humanities | 1 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Nursing and Health Professions | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 9 | 60% |