You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Chapter title |
Using Computational Intelligence for Tracking COVID-19 Outbreak in Online Social Networks
|
---|---|
Chapter number | 3 |
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_3 |
Book ISBNs |
978-9-81-158533-3, 978-9-81-158534-0
|
Authors |
Sahar Qazi, Salim Ahmad, Khalid Raza, Qazi, Sahar, Ahmad, Salim, Raza, Khalid |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 20% |
Student > Ph. D. Student | 4 | 20% |
Professor > Associate Professor | 2 | 10% |
Student > Master | 2 | 10% |
Other | 2 | 10% |
Other | 3 | 15% |
Unknown | 3 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 25% |
Mathematics | 2 | 10% |
Nursing and Health Professions | 2 | 10% |
Environmental Science | 1 | 5% |
Arts and Humanities | 1 | 5% |
Other | 4 | 20% |
Unknown | 5 | 25% |