Title |
Estimating direct and spill-over impacts of political elections on COVID-19 transmission using synthetic control methods
|
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Published in |
PLoS Computational Biology, May 2021
|
DOI | 10.1371/journal.pcbi.1008959 |
Pubmed ID | |
Authors |
Jue Tao Lim, Kenwin Maung, Sok Teng Tan, Suan Ee Ong, Jane Mingjie Lim, Joel Ruihan Koo, Haoyang Sun, Minah Park, Ken Wei Tan, Joanne Yoong, Alex R. Cook, Borame Sue Lee Dickens |
X Demographics
The data shown below were collected from the profiles of 186 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 62 | 33% |
United States | 4 | 2% |
United Kingdom | 3 | 2% |
Singapore | 2 | 1% |
Indonesia | 2 | 1% |
Sri Lanka | 2 | 1% |
Sao Tome and Principe | 1 | <1% |
South Africa | 1 | <1% |
Japan | 1 | <1% |
Other | 6 | 3% |
Unknown | 102 | 55% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 167 | 90% |
Scientists | 8 | 4% |
Science communicators (journalists, bloggers, editors) | 7 | 4% |
Practitioners (doctors, other healthcare professionals) | 4 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 72 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 15% |
Researcher | 8 | 11% |
Student > Bachelor | 6 | 8% |
Student > Postgraduate | 4 | 6% |
Lecturer | 3 | 4% |
Other | 10 | 14% |
Unknown | 30 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 5 | 7% |
Medicine and Dentistry | 5 | 7% |
Social Sciences | 4 | 6% |
Economics, Econometrics and Finance | 4 | 6% |
Agricultural and Biological Sciences | 3 | 4% |
Other | 16 | 22% |
Unknown | 35 | 49% |