The data shown below were collected from the profiles of 182 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
| Title |
Estimating direct and spill-over impacts of political elections on COVID-19 transmission using synthetic control methods
|
|---|---|
| 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
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 51 | 28% |
| United States | 3 | 2% |
| United Kingdom | 2 | 1% |
| Singapore | 2 | 1% |
| Indonesia | 2 | 1% |
| Sao Tome and Principe | 1 | <1% |
| Switzerland | 1 | <1% |
| Japan | 1 | <1% |
| Philippines | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 115 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 162 | 89% |
| Scientists | 8 | 4% |
| Science communicators (journalists, bloggers, editors) | 8 | 4% |
| Practitioners (doctors, other healthcare professionals) | 4 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 15% |
| Researcher | 9 | 12% |
| Student > Bachelor | 6 | 8% |
| Student > Postgraduate | 4 | 5% |
| Lecturer | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 31 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 5 | 7% |
| Medicine and Dentistry | 5 | 7% |
| Social Sciences | 4 | 5% |
| Economics, Econometrics and Finance | 4 | 5% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 17 | 23% |
| Unknown | 36 | 49% |