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.
Mendeley readers
Chapter title |
Global and Local Interpretability for Cardiac MRI Classification
|
---|---|
Chapter number | 72 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-32251-9_72 |
Book ISBNs |
978-3-03-032250-2, 978-3-03-032251-9
|
Authors |
James R. Clough, Ilkay Oksuz, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King, Julia A. Schnabel, Clough, James R., Oksuz, Ilkay, Puyol-Antón, Esther, Ruijsink, Bram, King, Andrew P., Schnabel, Julia A. |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 97 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 32 | 33% |
Researcher | 9 | 9% |
Student > Master | 8 | 8% |
Student > Doctoral Student | 4 | 4% |
Lecturer | 4 | 4% |
Other | 10 | 10% |
Unknown | 30 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 38 | 39% |
Engineering | 10 | 10% |
Medicine and Dentistry | 5 | 5% |
Chemistry | 3 | 3% |
Agricultural and Biological Sciences | 2 | 2% |
Other | 6 | 6% |
Unknown | 33 | 34% |