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X Demographics
Mendeley readers
Chapter title |
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression
|
---|---|
Chapter number | 16 |
Book title |
Adolescent Brain Cognitive Development Neurocognitive Prediction
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-31901-4_16 |
Book ISBNs |
978-3-03-031900-7, 978-3-03-031901-4
|
Authors |
Agoston Mihalik, Mikael Brudfors, Maria Robu, Fabio S. Ferreira, Hongxiang Lin, Anita Rau, Tong Wu, Stefano B. Blumberg, Baris Kanber, Maira Tariq, Mar Estarellas Garcia, Cemre Zor, Daniil I. Nikitichev, Janaina Mourão-Miranda, Neil P. Oxtoby, Mihalik, A, Brudfors, M, Robu, M, Ferreira, FS, Lin, H, Rau, A, Wu, T, Blumberg, SB, Kanber, B, Tariq, M, Garcia, ME, Zor, C, Nikitichev, DI, Mourão-Miranda, J, Oxtoby, NP, Mihalik, Agoston, Brudfors, Mikael, Robu, Maria, Ferreira, Fabio S., Lin, Hongxiang, Rau, Anita, Wu, Tong, Blumberg, Stefano B., Kanber, Baris, Tariq, Maira, Garcia, Mar Estarellas, Zor, Cemre, Nikitichev, Daniil I., Mourão-Miranda, Janaina, Oxtoby, Neil P. |
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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 27% |
Student > Ph. D. Student | 9 | 24% |
Student > Doctoral Student | 2 | 5% |
Student > Master | 2 | 5% |
Professor | 1 | 3% |
Other | 3 | 8% |
Unknown | 10 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 8 | 22% |
Computer Science | 5 | 14% |
Psychology | 4 | 11% |
Engineering | 3 | 8% |
Chemical Engineering | 1 | 3% |
Other | 2 | 5% |
Unknown | 14 | 38% |