Computational Intelligence for COVID-19 and Future Pandemics
Springer Singapore
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X Demographics
| Title |
Computational Intelligence for COVID-19 and Future Pandemics
|
|---|---|
| Published by |
Springer Singapore, January 2022
|
| DOI | 10.1007/978-981-16-3783-4 |
| ISBNs |
978-9-81-163782-7, 978-9-81-163783-4
|
| Editors |
Utku Kose, Junzo Watada, Omer Deperlioglu, Jose Antonio Marmolejo Saucedo |
X Demographics
The data shown below were collected from the profiles of 4 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 States | 2 | 50% |
| Canada | 1 | 25% |
| Norway | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |