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Mendeley readers
Chapter title |
Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models
|
---|---|
Chapter number | 23 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
Published by |
Springer, Cham, September 2020
|
DOI | 10.1007/978-3-030-59725-2_23 |
Book ISBNs |
978-3-03-059724-5, 978-3-03-059725-2
|
Authors |
Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith, Liu, Yue, Azizpour, Hossein, Strand, Fredrik, Smith, Kevin |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 26% |
Student > Bachelor | 4 | 21% |
Student > Master | 2 | 11% |
Other | 1 | 5% |
Lecturer | 1 | 5% |
Other | 1 | 5% |
Unknown | 5 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 37% |
Engineering | 3 | 16% |
Physics and Astronomy | 2 | 11% |
Medicine and Dentistry | 1 | 5% |
Nursing and Health Professions | 1 | 5% |
Other | 0 | 0% |
Unknown | 5 | 26% |