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X Demographics
Mendeley readers
Chapter title |
A Divide-and-Conquer Approach Towards Understanding Deep Networks
|
---|---|
Chapter number | 21 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-32239-7_21 |
Book ISBNs |
978-3-03-032238-0, 978-3-03-032239-7
|
Authors |
Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas Maier, Fu, Weilin, Breininger, Katharina, Schaffert, Roman, Ravikumar, Nishant, Maier, Andreas |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 25% |
Student > Doctoral Student | 1 | 13% |
Lecturer | 1 | 13% |
Researcher | 1 | 13% |
Professor > Associate Professor | 1 | 13% |
Other | 0 | 0% |
Unknown | 2 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 63% |
Physics and Astronomy | 1 | 13% |
Unknown | 2 | 25% |