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Mendeley readers
Chapter title |
Chronic Heart Disease Prediction Using Data Mining Techniques
|
---|---|
Chapter number | 76 |
Book title |
Data Engineering and Communication Technology
|
Published by |
Springer, Singapore, January 2020
|
DOI | 10.1007/978-981-15-1097-7_76 |
Book ISBNs |
978-9-81-151096-0, 978-9-81-151097-7
|
Authors |
Sravani Nalluri, R. Vijaya Saraswathi, Somula Ramasubbareddy, K. Govinda, E. Swetha, Nalluri, Sravani, Vijaya Saraswathi, R., Ramasubbareddy, Somula, Govinda, K., Swetha, E. |
Mendeley readers
The data shown below were compiled from readership statistics for 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 204 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 31 | 15% |
Student > Bachelor | 19 | 9% |
Researcher | 14 | 7% |
Lecturer | 11 | 5% |
Student > Ph. D. Student | 9 | 4% |
Other | 16 | 8% |
Unknown | 104 | 51% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 60 | 29% |
Engineering | 14 | 7% |
Medicine and Dentistry | 4 | 2% |
Social Sciences | 4 | 2% |
Nursing and Health Professions | 3 | 1% |
Other | 15 | 7% |
Unknown | 104 | 51% |