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Mendeley readers
| Chapter title |
Notation and Definitions
|
|---|---|
| Chapter number | 2 |
| Book title |
Universal Time-Series Forecasting with Mixture Predictors
|
| Published by |
Springer, Cham, January 2020
|
| DOI | 10.1007/978-3-030-54304-4_2 |
| Book ISBNs |
978-3-03-054303-7, 978-3-03-054304-4
|
| Authors |
Daniil Ryabko |
Mendeley readers
The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 5 | 3% |
| United Kingdom | 2 | 1% |
| India | 2 | 1% |
| Turkey | 1 | <1% |
| Indonesia | 1 | <1% |
| Vietnam | 1 | <1% |
| Macao | 1 | <1% |
| Kenya | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 8 | 5% |
| Unknown | 135 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 50 | 32% |
| Researcher | 27 | 17% |
| Student > Doctoral Student | 17 | 11% |
| Student > Master | 16 | 10% |
| Other | 10 | 6% |
| Other | 35 | 22% |
| Unknown | 3 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 16% |
| Medicine and Dentistry | 24 | 15% |
| Engineering | 14 | 9% |
| Business, Management and Accounting | 11 | 7% |
| Social Sciences | 11 | 7% |
| Other | 65 | 41% |
| Unknown | 8 | 5% |