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X Demographics
Mendeley readers
Chapter title |
Uncertainty Estimates as Data Selection Criteria to Boost Omni-Supervised Learning
|
---|---|
Chapter number | 67 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
Published by |
Springer, Cham, September 2020
|
DOI | 10.1007/978-3-030-59710-8_67 |
Book ISBNs |
978-3-03-059709-2, 978-3-03-059710-8
|
Authors |
Lorenzo Venturini, Aris T. Papageorghiou, J. Alison Noble, Ana I. L. Namburete, Venturini, Lorenzo, Papageorghiou, Aris T., Noble, J. Alison, Namburete, Ana I. L. |
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 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 | 5 | 21% |
Student > Master | 3 | 13% |
Researcher | 2 | 8% |
Student > Doctoral Student | 1 | 4% |
Other | 1 | 4% |
Other | 1 | 4% |
Unknown | 11 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 25% |
Engineering | 2 | 8% |
Agricultural and Biological Sciences | 2 | 8% |
Mathematics | 1 | 4% |
Medicine and Dentistry | 1 | 4% |
Other | 1 | 4% |
Unknown | 11 | 46% |