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Timeline
X Demographics
Mendeley readers
Title |
An Explainable Multimodal Neural Network Architecture for Predicting Epilepsy Comorbidities Based on Administrative Claims Data
|
---|---|
Published in |
Frontiers in Artificial Intelligence, May 2021
|
DOI | 10.3389/frai.2021.610197 |
Pubmed ID | |
Authors |
Thomas Linden, Johann De Jong, Chao Lu, Victor Kiri, Kathrin Haeffs, Holger Fröhlich |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 25% |
India | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 39 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 18% |
Student > Doctoral Student | 4 | 10% |
Student > Ph. D. Student | 3 | 8% |
Student > Master | 2 | 5% |
Other | 2 | 5% |
Other | 3 | 8% |
Unknown | 18 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 18% |
Computer Science | 4 | 10% |
Business, Management and Accounting | 2 | 5% |
Decision Sciences | 1 | 3% |
Mathematics | 1 | 3% |
Other | 4 | 10% |
Unknown | 20 | 51% |