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X Demographics
Mendeley readers
Chapter title |
MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces
|
---|---|
Chapter number | 93 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-32226-7_93 |
Book ISBNs |
978-3-03-032225-0, 978-3-03-032226-7
|
Authors |
Chunfeng Lian, Li Wang, Tai-Hsien Wu, Mingxia Liu, Francisca Durán, Ching-Chang Ko, Dinggang Shen, Lian, Chunfeng, Wang, Li, Wu, Tai-Hsien, Liu, Mingxia, Durán, Francisca, Ko, Ching-Chang, Shen, Dinggang |
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 % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 18% |
Student > Master | 4 | 12% |
Student > Doctoral Student | 2 | 6% |
Other | 2 | 6% |
Researcher | 2 | 6% |
Other | 4 | 12% |
Unknown | 13 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 24% |
Engineering | 6 | 18% |
Medicine and Dentistry | 3 | 9% |
Nursing and Health Professions | 1 | 3% |
Mathematics | 1 | 3% |
Other | 0 | 0% |
Unknown | 14 | 42% |