Chapter title |
IoMT Potential Impact in COVID-19: Combating a Pandemic with Innovation
|
---|---|
Chapter number | 18 |
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_18 |
Book ISBNs |
978-9-81-158533-3, 978-9-81-158534-0
|
Authors |
Mohd Faizan Siddiqui, Siddiqui, Mohd Faizan |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Arab Emirates | 2 | 33% |
Kyrgyzstan | 1 | 17% |
India | 1 | 17% |
Unknown | 2 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 11 | 31% |
Lecturer | 3 | 9% |
Researcher | 2 | 6% |
Student > Postgraduate | 2 | 6% |
Professor > Associate Professor | 2 | 6% |
Other | 5 | 14% |
Unknown | 10 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 29% |
Engineering | 4 | 11% |
Medicine and Dentistry | 3 | 9% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Unspecified | 1 | 3% |
Other | 7 | 20% |
Unknown | 8 | 23% |