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.
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Timeline
X Demographics
Mendeley readers
| Title |
Explaining graph convolutional network predictions for clinicians—An explainable AI approach to Alzheimer's disease classification
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, January 2024
|
| DOI | 10.3389/frai.2023.1334613 |
| Pubmed ID | |
| Authors |
Sule Tekkesinoglu, Sara Pudas |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 11% |
| Student > Ph. D. Student | 2 | 7% |
| Professor > Associate Professor | 2 | 7% |
| Other | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 14 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 19% |
| Unspecified | 3 | 11% |
| Engineering | 2 | 7% |
| Psychology | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 15 | 56% |