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Mendeley readers
Chapter title |
Effective Prediction of Type II Diabetes Mellitus Using Data Mining Classifiers and SMOTE
|
---|---|
Chapter number | 17 |
Book title |
Advances in Computing and Intelligent Systems
|
Published by |
Springer, Singapore, January 2020
|
DOI | 10.1007/978-981-15-0222-4_17 |
Book ISBNs |
978-9-81-150221-7, 978-9-81-150222-4
|
Authors |
Mirza Shuja, Sonu Mittal, Majid Zaman, Shuja, Mirza, Mittal, Sonu, Zaman, Majid |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 50 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer > Senior Lecturer | 4 | 8% |
Student > Master | 4 | 8% |
Student > Ph. D. Student | 4 | 8% |
Student > Bachelor | 3 | 6% |
Other | 2 | 4% |
Other | 6 | 12% |
Unknown | 27 | 54% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 22% |
Engineering | 5 | 10% |
Arts and Humanities | 1 | 2% |
Mathematics | 1 | 2% |
Unspecified | 1 | 2% |
Other | 2 | 4% |
Unknown | 29 | 58% |