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Mendeley readers
Chapter title |
Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators
|
---|---|
Chapter number | 11 |
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_11 |
Pubmed ID | |
Book ISBNs |
978-3-03-032250-2, 978-3-03-032251-9
|
Authors |
Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland, Egger, Bernhard, Schirmer, Markus D., Dubost, Florian, Nardin, Marco J., Rost, Natalia S., Golland, Polina |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 25% |
Other | 2 | 8% |
Student > Bachelor | 2 | 8% |
Student > Doctoral Student | 2 | 8% |
Professor | 1 | 4% |
Other | 1 | 4% |
Unknown | 10 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 29% |
Engineering | 2 | 8% |
Arts and Humanities | 1 | 4% |
Medicine and Dentistry | 1 | 4% |
Economics, Econometrics and Finance | 1 | 4% |
Other | 2 | 8% |
Unknown | 10 | 42% |