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X Demographics
Mendeley readers
| Title |
Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks
|
|---|---|
| Published in |
Infectious Diseases of Poverty, December 2013
|
| DOI | 10.1186/2049-9957-2-31 |
| Pubmed ID | |
| Authors |
Isaac Chun-Hai Fung, King-Wa Fu, Yuchen Ying, Braydon Schaible, Yi Hao, Chung-Hong Chan, Zion Tsz-Ho Tse |
| Abstract |
As internet and social media use have skyrocketed, epidemiologists have begun to use online data such as Google query data and Twitter trends to track the activity levels of influenza and other infectious diseases. In China, Weibo is an extremely popular microblogging site that is equivalent to Twitter. Capitalizing on the wealth of public opinion data contained in posts on Weibo, this study used Weibo as a measure of the Chinese people's reactions to two different outbreaks: the 2012 Middle East Respiratory Syndrome Coronavirus (MERS-CoV) outbreak, and the 2013 outbreak of human infection of avian influenza A(H7N9) in China. |
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 % |
|---|---|---|
| United Kingdom | 2 | 67% |
| India | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Bangladesh | 1 | <1% |
| Ireland | 1 | <1% |
| Canada | 1 | <1% |
| China | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 130 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 19% |
| Researcher | 22 | 16% |
| Student > Ph. D. Student | 20 | 15% |
| Student > Bachelor | 10 | 7% |
| Other | 7 | 5% |
| Other | 30 | 22% |
| Unknown | 20 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 19% |
| Computer Science | 20 | 15% |
| Social Sciences | 14 | 10% |
| Nursing and Health Professions | 7 | 5% |
| Agricultural and Biological Sciences | 6 | 4% |
| Other | 33 | 24% |
| Unknown | 29 | 21% |