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Mendeley readers
Chapter title |
Quality of Prediction of Daily Relativistic Electrons Flux at Geostationary Orbit by Machine Learning Methods
|
---|---|
Chapter number | 45 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-30490-4_45 |
Book ISBNs |
978-3-03-030489-8, 978-3-03-030490-4
|
Authors |
Irina Myagkova, Alexander Efitorov, Vladimir Shiroky, Sergey Dolenko, Myagkova, Irina, Efitorov, Alexander, Shiroky, Vladimir, Dolenko, Sergey |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 38% |
Researcher | 3 | 38% |
Student > Doctoral Student | 1 | 13% |
Lecturer > Senior Lecturer | 1 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 50% |
Physics and Astronomy | 2 | 25% |
Earth and Planetary Sciences | 1 | 13% |
Unknown | 1 | 13% |