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Mendeley readers
| Chapter title |
Testing the Robustness of Attribution Methods for Convolutional Neural Networks in MRI-Based Alzheimer’s Disease Classification
|
|---|---|
| Chapter number | 1 |
| Book title |
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support
|
| Published by |
Springer, Cham, October 2019
|
| DOI | 10.1007/978-3-030-33850-3_1 |
| Book ISBNs |
978-3-03-033849-7, 978-3-03-033850-3
|
| Authors |
Fabian Eitel, Kerstin Ritter, for the Alzheimer’s Disease Neuroimaging Initiative (ADNI), Eitel, Fabian, Ritter, Kerstin |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 16% |
| Student > Master | 9 | 13% |
| Researcher | 8 | 12% |
| Student > Doctoral Student | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Other | 8 | 12% |
| Unknown | 23 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 28% |
| Engineering | 10 | 15% |
| Neuroscience | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Unspecified | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 25 | 37% |