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Mendeley readers
| Chapter title |
Online Breast Cancer Diagnosis System
|
|---|---|
| Chapter number | 9 |
| Book title |
Intelligent Computing Systems
|
| Published by |
Springer, Cham, March 2016
|
| DOI | 10.1007/978-3-319-30447-2_9 |
| Book ISBNs |
978-3-31-930446-5, 978-3-31-930447-2
|
| Authors |
Asad Safi, Anabel Martin-Gonzalez |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 27% |
| Professor | 3 | 27% |
| Lecturer > Senior Lecturer | 1 | 9% |
| Other | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Other | 2 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 45% |
| Computer Science | 4 | 36% |
| Social Sciences | 1 | 9% |
| Immunology and Microbiology | 1 | 9% |