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Mendeley readers
Chapter title |
A Review on Predictive Systems and Data Models for COVID-19
|
---|---|
Chapter number | 7 |
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_7 |
Book ISBNs |
978-9-81-158533-3, 978-9-81-158534-0
|
Authors |
Fatima Nazish Khan, Ayesha Ayubi Khanam, Ayyagari Ramlal, Shaban Ahmad, Khan, Fatima Nazish, Khanam, Ayesha Ayubi, Ramlal, Ayyagari, Ahmad, Shaban |
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 | 5 | 15% |
Unspecified | 3 | 9% |
Researcher | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Lecturer | 2 | 6% |
Other | 7 | 21% |
Unknown | 11 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 21% |
Unspecified | 3 | 9% |
Environmental Science | 2 | 6% |
Medicine and Dentistry | 2 | 6% |
Social Sciences | 2 | 6% |
Other | 4 | 12% |
Unknown | 13 | 39% |