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 |
Unsupervised Identification of Clinically Relevant Clusters in Routine Imaging Data
|
---|---|
Chapter number | 23 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016
|
Published in |
Lecture notes in computer science, October 2016
|
DOI | 10.1007/978-3-319-46720-7_23 |
Book ISBNs |
978-3-31-946719-1, 978-3-31-946720-7
|
Authors |
Johannes Hofmanninger, Markus Krenn, Markus Holzer, Thomas Schlegl, Helmut Prosch, Georg Langs, Johannes Hofmanninger, Markus Krenn, Markus Holzer, Thomas Schlegl, Helmut Prosch, Georg Langs |
Editors |
Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 1 | 3% |
Unknown | 31 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 31% |
Researcher | 6 | 19% |
Student > Master | 4 | 13% |
Student > Bachelor | 4 | 13% |
Other | 2 | 6% |
Other | 4 | 13% |
Unknown | 2 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 44% |
Engineering | 6 | 19% |
Physics and Astronomy | 2 | 6% |
Medicine and Dentistry | 1 | 3% |
Social Sciences | 1 | 3% |
Other | 0 | 0% |
Unknown | 8 | 25% |