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Mendeley readers
Chapter title |
Machine Learning Techniques for Classification of Breast Cancer
|
---|---|
Chapter number | 35 |
Book title |
World Congress on Medical Physics and Biomedical Engineering 2018
|
Published by |
Springer, Singapore, January 2019
|
DOI | 10.1007/978-981-10-9035-6_35 |
Book ISBNs |
978-9-81-109034-9, 978-9-81-109035-6
|
Authors |
Ahmed Osmanović, Sabina Halilović, Layla Abdel Ilah, Adnan Fojnica, Zehra Gromilić, Osmanović, Ahmed, Halilović, Sabina, Ilah, Layla Abdel, Fojnica, Adnan, Gromilić, Zehra |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 9% |
Lecturer | 3 | 9% |
Researcher | 3 | 9% |
Student > Ph. D. Student | 3 | 9% |
Other | 2 | 6% |
Other | 6 | 18% |
Unknown | 14 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 15% |
Engineering | 5 | 15% |
Medicine and Dentistry | 4 | 12% |
Mathematics | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Other | 4 | 12% |
Unknown | 14 | 41% |