Title |
Forecasting and Evaluating Multiple Interventions for COVID-19 Worldwide
|
---|---|
Published in |
Frontiers in Artificial Intelligence, May 2020
|
DOI | 10.3389/frai.2020.00041 |
Pubmed ID | |
Authors |
Zixin Hu, Qiyang Ge, Shudi Li, Eric Boerwinkle, Li Jin, Momiao Xiong |
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 % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 27% |
Student > Doctoral Student | 3 | 9% |
Researcher | 3 | 9% |
Student > Ph. D. Student | 3 | 9% |
Librarian | 2 | 6% |
Other | 4 | 12% |
Unknown | 9 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 21% |
Engineering | 4 | 12% |
Computer Science | 3 | 9% |
Mathematics | 3 | 9% |
Agricultural and Biological Sciences | 1 | 3% |
Other | 5 | 15% |
Unknown | 10 | 30% |