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Mendeley readers
Chapter title |
Applying Machine Learning Algorithms for Early Diagnosis and Prediction of Breast Cancer Risk
|
---|---|
Chapter number | 57 |
Book title |
Proceedings of 2nd International Conference on Communication, Computing and Networking
|
Published by |
Springer, Singapore, September 2018
|
DOI | 10.1007/978-981-13-1217-5_57 |
Book ISBNs |
978-9-81-131216-8, 978-9-81-131217-5
|
Authors |
Tawseef Ayoub Shaikh, Rashid Ali, Shaikh, Tawseef Ayoub, Ali, Rashid |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 17% |
Student > Ph. D. Student | 5 | 17% |
Student > Bachelor | 4 | 14% |
Student > Postgraduate | 3 | 10% |
Student > Master | 1 | 3% |
Other | 0 | 0% |
Unknown | 11 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 8 | 28% |
Computer Science | 6 | 21% |
Medicine and Dentistry | 2 | 7% |
Unspecified | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Other | 1 | 3% |
Unknown | 10 | 34% |