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X Demographics
Mendeley readers
Title |
Assessing the impact of COVID-19 interventions on influenza-like illness in Beijing and Hong Kong: an observational and modeling study
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Published in |
Infectious Diseases of Poverty, February 2023
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DOI | 10.1186/s40249-023-01061-8 |
Pubmed ID | |
Authors |
Xingxing Zhang, Jing Du, Gang Li, Teng Chen, Jin Yang, Jiao Yang, Ting Zhang, Qing Wang, Liuyang Yang, Shengjie Lai, Luzhao Feng, Weizhong Yang |
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 % |
---|---|---|
China | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 20% |
Lecturer | 1 | 10% |
Other | 1 | 10% |
Unknown | 6 | 60% |
Readers by discipline | Count | As % |
---|---|---|
Mathematics | 1 | 10% |
Sports and Recreations | 1 | 10% |
Unknown | 8 | 80% |