You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Chapter title |
A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection
|
---|---|
Chapter number | 50 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
|
Published in |
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, September 2013
|
DOI | 10.1007/978-3-642-40763-5_50 |
Pubmed ID | |
Book ISBNs |
978-3-64-240762-8, 978-3-64-240763-5
|
Authors |
Cruz-Roa AA, Arevalo Ovalle JE, Madabhushi A, González Osorio FA, Angel Alfonso Cruz-Roa, John Edison Arevalo Ovalle, Anant Madabhushi, Fabio Augusto González Osorio, Cruz-Roa, Angel Alfonso, Arevalo Ovalle, John Edison, Madabhushi, Anant, González Osorio, Fabio Augusto |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Australia | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 381 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 4 | 1% |
Canada | 2 | <1% |
United Kingdom | 2 | <1% |
Switzerland | 1 | <1% |
Turkey | 1 | <1% |
Singapore | 1 | <1% |
Japan | 1 | <1% |
Unknown | 369 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 88 | 23% |
Student > Master | 55 | 14% |
Researcher | 42 | 11% |
Student > Bachelor | 33 | 9% |
Student > Doctoral Student | 30 | 8% |
Other | 57 | 15% |
Unknown | 76 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 150 | 39% |
Engineering | 52 | 14% |
Medicine and Dentistry | 23 | 6% |
Agricultural and Biological Sciences | 18 | 5% |
Biochemistry, Genetics and Molecular Biology | 8 | 2% |
Other | 33 | 9% |
Unknown | 97 | 25% |