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Mendeley readers
Chapter title |
Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data Using Deep Learning Models
|
---|---|
Chapter number | 46 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2018
|
Published by |
Springer, Cham, October 2018
|
DOI | 10.1007/978-3-030-01424-7_46 |
Book ISBNs |
978-3-03-001423-0, 978-3-03-001424-7
|
Authors |
Zakhriya Alhassan, A. Stephen McGough, Riyad Alshammari, Tahani Daghstani, David Budgen, Noura Al Moubayed, Alhassan, Zakhriya, McGough, A. Stephen, Alshammari, Riyad, Daghstani, Tahani, Budgen, David, Al Moubayed, Noura |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 23% |
Student > Master | 3 | 14% |
Student > Doctoral Student | 3 | 14% |
Unspecified | 1 | 5% |
Lecturer > Senior Lecturer | 1 | 5% |
Other | 2 | 9% |
Unknown | 7 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 41% |
Engineering | 4 | 18% |
Materials Science | 1 | 5% |
Unspecified | 1 | 5% |
Unknown | 7 | 32% |