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X Demographics
Mendeley readers
Chapter title |
Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks
|
---|---|
Chapter number | 1 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00934-2_1 |
Book ISBNs |
978-3-03-000933-5, 978-3-03-000934-2
|
Authors |
Christian Payer, Darko Štern, Thomas Neff, Horst Bischof, Martin Urschler |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Austria | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 74 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 23% |
Researcher | 16 | 22% |
Student > Master | 16 | 22% |
Student > Doctoral Student | 4 | 5% |
Student > Bachelor | 3 | 4% |
Other | 4 | 5% |
Unknown | 14 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 36 | 49% |
Engineering | 13 | 18% |
Physics and Astronomy | 3 | 4% |
Biochemistry, Genetics and Molecular Biology | 2 | 3% |
Agricultural and Biological Sciences | 1 | 1% |
Other | 2 | 3% |
Unknown | 17 | 23% |