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.
Mendeley readers
Chapter title |
A Deep Reinforcement Learning Approach for Automated Cryptocurrency Trading
|
---|---|
Chapter number | 20 |
Book title |
Artificial Intelligence Applications and Innovations
|
Published by |
Springer, Cham, May 2019
|
DOI | 10.1007/978-3-030-19823-7_20 |
Book ISBNs |
978-3-03-019822-0, 978-3-03-019823-7
|
Authors |
Giorgio Lucarelli, Matteo Borrotti |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 56 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 9 | 16% |
Student > Master | 6 | 11% |
Unspecified | 4 | 7% |
Researcher | 4 | 7% |
Student > Ph. D. Student | 3 | 5% |
Other | 11 | 20% |
Unknown | 19 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 15 | 27% |
Engineering | 5 | 9% |
Business, Management and Accounting | 4 | 7% |
Unspecified | 4 | 7% |
Economics, Econometrics and Finance | 4 | 7% |
Other | 4 | 7% |
Unknown | 20 | 36% |