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Mendeley readers
Chapter title |
From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity
|
---|---|
Chapter number | 7 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
|
Published by |
Springer, Cham, September 2020
|
DOI | 10.1007/978-3-030-59728-3_7 |
Book ISBNs |
978-3-03-059727-6, 978-3-03-059728-3
|
Authors |
Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu, Ngo, Gia H., Khosla, Meenakshi, Jamison, Keith, Kuceyeski, Amy, Sabuncu, Mert R. |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 29% |
Student > Ph. D. Student | 5 | 24% |
Student > Postgraduate | 2 | 10% |
Student > Doctoral Student | 1 | 5% |
Professor | 1 | 5% |
Other | 0 | 0% |
Unknown | 6 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 10% |
Medicine and Dentistry | 2 | 10% |
Engineering | 2 | 10% |
Computer Science | 1 | 5% |
Neuroscience | 1 | 5% |
Other | 1 | 5% |
Unknown | 12 | 57% |