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Mendeley readers
Chapter title |
Integrating M-Health with IoMT to Counter COVID-19
|
---|---|
Chapter number | 20 |
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_20 |
Book ISBNs |
978-9-81-158533-3, 978-9-81-158534-0
|
Authors |
Devansh Sharma, Ali Zaid Bin Nawab, Mansaf Alam, Sharma, Devansh, Nawab, Ali Zaid Bin, Alam, Mansaf |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 13% |
Lecturer | 3 | 10% |
Student > Doctoral Student | 2 | 7% |
Lecturer > Senior Lecturer | 2 | 7% |
Student > Postgraduate | 2 | 7% |
Other | 5 | 17% |
Unknown | 12 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 20% |
Engineering | 3 | 10% |
Medicine and Dentistry | 2 | 7% |
Mathematics | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Other | 5 | 17% |
Unknown | 12 | 40% |