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Mendeley readers
Chapter title |
Mobile Technology Solution for COVID-19: Surveillance and Prevention
|
---|---|
Chapter number | 5 |
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_5 |
Book ISBNs |
978-9-81-158533-3, 978-9-81-158534-0
|
Authors |
Shaban Ahmad, Pragya Chitkara, Fatima Nazish Khan, Avtar Kishan, Vaibhav Alok, Ayyagari Ramlal, Sahil Mehta, Ahmad, Shaban, Chitkara, Pragya, Khan, Fatima Nazish, Kishan, Avtar, Alok, Vaibhav, Ramlal, Ayyagari, Mehta, Sahil |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 11% |
Student > Master | 3 | 11% |
Other | 2 | 7% |
Student > Bachelor | 2 | 7% |
Student > Postgraduate | 2 | 7% |
Other | 4 | 14% |
Unknown | 12 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 21% |
Engineering | 3 | 11% |
Medicine and Dentistry | 3 | 11% |
Immunology and Microbiology | 1 | 4% |
Environmental Science | 1 | 4% |
Other | 2 | 7% |
Unknown | 12 | 43% |