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X Demographics
Mendeley readers
Chapter title |
Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector
|
---|---|
Chapter number | 57 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00928-1_57 |
Pubmed ID | |
Book ISBNs |
978-3-03-000927-4, 978-3-03-000928-1
|
Authors |
Sumedha Singla, Mingming Gong, Siamak Ravanbakhsh, Frank Sciurba, Barnabas Poczos, Kayhan N. Batmanghelich, Singla, Sumedha, Gong, Mingming, Ravanbakhsh, Siamak, Sciurba, Frank, Poczos, Barnabas, Batmanghelich, Kayhan N. |
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 % |
---|---|---|
Netherlands | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 47 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 21% |
Student > Doctoral Student | 6 | 13% |
Researcher | 5 | 11% |
Student > Master | 4 | 9% |
Student > Postgraduate | 3 | 6% |
Other | 6 | 13% |
Unknown | 13 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 32% |
Medicine and Dentistry | 9 | 19% |
Engineering | 5 | 11% |
Physics and Astronomy | 2 | 4% |
Business, Management and Accounting | 1 | 2% |
Other | 1 | 2% |
Unknown | 14 | 30% |