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X Demographics
Mendeley readers
Chapter title |
Overcoming Data Limitation in Medical Visual Question Answering
|
---|---|
Chapter number | 57 |
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_57 |
Book ISBNs |
978-3-03-032250-2, 978-3-03-032251-9
|
Authors |
Binh D. Nguyen, Thanh-Toan Do, Binh X. Nguyen, Tuong Do, Erman Tjiputra, Quang D. Tran, Nguyen, Binh D, Do, Thanh-Toan, Nguyen, Binh X, Do, Tuong, Tjiputra, Erman, Tran, Quang D, Nguyen, Binh D., Nguyen, Binh X., Tran, Quang D. |
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 % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 60 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 18% |
Student > Ph. D. Student | 7 | 12% |
Student > Bachelor | 6 | 10% |
Researcher | 4 | 7% |
Student > Doctoral Student | 2 | 3% |
Other | 6 | 10% |
Unknown | 24 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 26 | 43% |
Engineering | 4 | 7% |
Chemistry | 1 | 2% |
Arts and Humanities | 1 | 2% |
Unknown | 28 | 47% |