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Mendeley readers
Chapter title |
COVID-19: Hard Road to Find Integrated Computational Drug and Repurposing Pipeline
|
---|---|
Chapter number | 15 |
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_15 |
Book ISBNs |
978-9-81-158533-3, 978-9-81-158534-0
|
Authors |
Ankita Sahu, Sahar Qazi, Khalid Raza, Saurabh Verma, Sahu, Ankita, Qazi, Sahar, Raza, Khalid, Verma, Saurabh |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 17% |
Student > Ph. D. Student | 3 | 13% |
Professor > Associate Professor | 2 | 8% |
Professor | 1 | 4% |
Other | 1 | 4% |
Other | 2 | 8% |
Unknown | 11 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 25% |
Engineering | 2 | 8% |
Medicine and Dentistry | 2 | 8% |
Mathematics | 1 | 4% |
Environmental Science | 1 | 4% |
Other | 1 | 4% |
Unknown | 11 | 46% |