The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Mendeley readers
| Title |
Multifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Theory-Guided Autoencoders
|
|---|---|
| Published in |
Frontiers in Applied Mathematics and Statistics, June 2022
|
| DOI | 10.3389/fams.2022.904687 |
| Authors |
Andrey A. Popov, Adrian Sandu |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 43% |
| Student > Ph. D. Student | 2 | 29% |
| Unknown | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 2 | 29% |
| Business, Management and Accounting | 1 | 14% |
| Earth and Planetary Sciences | 1 | 14% |
| Unknown | 3 | 43% |