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Mendeley readers
Chapter title |
Applying Deep Learning to Predicting Dementia and Mild Cognitive Impairment
|
---|---|
Chapter number | 26 |
Book title |
Artificial Intelligence Applications and Innovations
|
Published by |
Springer, Cham, June 2020
|
DOI | 10.1007/978-3-030-49186-4_26 |
Book ISBNs |
978-3-03-049185-7, 978-3-03-049186-4
|
Authors |
Daniel Stamate, Richard Smith, Ruslan Tsygancov, Rostislav Vorobev, John Langham, Daniel Stahl, David Reeves, Stamate, Daniel, Smith, Richard, Tsygancov, Ruslan, Vorobev, Rostislav, Langham, John, Stahl, Daniel, Reeves, David |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 29% |
Student > Master | 5 | 15% |
Researcher | 4 | 12% |
Lecturer > Senior Lecturer | 2 | 6% |
Professor | 1 | 3% |
Other | 2 | 6% |
Unknown | 10 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 29% |
Engineering | 3 | 9% |
Neuroscience | 3 | 9% |
Agricultural and Biological Sciences | 2 | 6% |
Medicine and Dentistry | 1 | 3% |
Other | 0 | 0% |
Unknown | 15 | 44% |