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X Demographics
Mendeley readers
Chapter title |
Brain Decoding from Functional MRI Using Long Short-Term Memory Recurrent Neural Networks
|
---|---|
Chapter number | 37 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published in |
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, September 2018
|
DOI | 10.1007/978-3-030-00931-1_37 |
Pubmed ID | |
Book ISBNs |
978-3-03-000930-4, 978-3-03-000931-1
|
Authors |
Hongming Li, Yong Fan, Li, Hongming, Fan, Yong |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 24% |
Student > Master | 5 | 11% |
Student > Doctoral Student | 4 | 9% |
Researcher | 3 | 7% |
Professor | 2 | 4% |
Other | 5 | 11% |
Unknown | 16 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 28% |
Engineering | 4 | 9% |
Neuroscience | 3 | 7% |
Agricultural and Biological Sciences | 1 | 2% |
Linguistics | 1 | 2% |
Other | 4 | 9% |
Unknown | 20 | 43% |