| Chapter title |
Role of Computational Intelligence Against COVID-19
|
|---|---|
| Chapter number | 2 |
| Book title |
Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
|
| Published by |
Springer, Singapore, October 2020
|
| DOI | 10.1007/978-981-15-8534-0_2 |
| Book ISBNs |
978-9-81-158533-3, 978-9-81-158534-0
|
| Authors |
Simran Kaur, Yasha Hasija, Kaur, Simran, Hasija, Yasha |
Twitter Demographics
The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 12% |
| Other | 4 | 10% |
| Researcher | 4 | 10% |
| Lecturer | 3 | 7% |
| Professor > Associate Professor | 3 | 7% |
| Other | 8 | 20% |
| Unknown | 14 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 22% |
| Medicine and Dentistry | 4 | 10% |
| Engineering | 2 | 5% |
| Business, Management and Accounting | 2 | 5% |
| Social Sciences | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 16 | 39% |