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.
X Demographics
Mendeley readers
Chapter title |
Artificial Neural Networks for Realized Volatility Prediction in Cryptocurrency Time Series
|
---|---|
Chapter number | 18 |
Book title |
Advances in Neural Networks – ISNN 2019
|
Published by |
Springer, Cham, July 2019
|
DOI | 10.1007/978-3-030-22796-8_18 |
Book ISBNs |
978-3-03-022795-1, 978-3-03-022796-8
|
Authors |
Ryotaro Miura, Lukáš Pichl, Taisei Kaizoji |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 40 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 10% |
Student > Bachelor | 3 | 8% |
Lecturer | 3 | 8% |
Researcher | 3 | 8% |
Student > Master | 3 | 8% |
Other | 8 | 20% |
Unknown | 16 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 6 | 15% |
Computer Science | 6 | 15% |
Economics, Econometrics and Finance | 6 | 15% |
Unspecified | 2 | 5% |
Linguistics | 1 | 3% |
Other | 1 | 3% |
Unknown | 18 | 45% |