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Mendeley readers
Chapter title |
Investigating Brain Age Deviation in Preterm Infants: A Deep Learning Approach
|
---|---|
Chapter number | 9 |
Book title |
Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00807-9_9 |
Book ISBNs |
978-3-03-000806-2, 978-3-03-000807-9
|
Authors |
Susmita Saha, Alex Pagnozzi, Joanne George, Paul B. Colditz, Roslyn Boyd, Stephen Rose, Jurgen Fripp, Kerstin Pannek, Saha, Susmita, Pagnozzi, Alex, George, Joanne, Colditz, Paul B., Boyd, Roslyn, Rose, Stephen, Fripp, Jurgen, Pannek, Kerstin |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 27% |
Researcher | 3 | 27% |
Student > Master | 2 | 18% |
Unknown | 3 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 2 | 18% |
Medicine and Dentistry | 2 | 18% |
Neuroscience | 1 | 9% |
Unknown | 6 | 55% |