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.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
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% |