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Mendeley readers
Chapter title |
Machine Learning of Optimal Low-Thrust Transfers Between Near-Earth Objects
|
---|---|
Chapter number | 46 |
Book title |
Hybrid Artificial Intelligent Systems
|
Published by |
Springer, Cham, June 2017
|
DOI | 10.1007/978-3-319-59650-1_46 |
Book ISBNs |
978-3-31-959649-5, 978-3-31-959650-1
|
Authors |
Alessio Mereta, Dario Izzo, Alexander Wittig |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 61 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 28% |
Student > Master | 16 | 26% |
Researcher | 7 | 11% |
Student > Bachelor | 5 | 8% |
Student > Doctoral Student | 1 | 2% |
Other | 5 | 8% |
Unknown | 10 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 39 | 64% |
Computer Science | 3 | 5% |
Physics and Astronomy | 3 | 5% |
Earth and Planetary Sciences | 2 | 3% |
Unspecified | 1 | 2% |
Other | 0 | 0% |
Unknown | 13 | 21% |