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Mendeley readers
| Chapter title |
Markov chains
|
|---|---|
| Chapter number | 14 |
| Book title |
Heavy-Tailed Time Series
|
| Published by |
Springer, New York, NY, January 2020
|
| DOI | 10.1007/978-1-0716-0737-4_14 |
| Book ISBNs |
978-1-07-160735-0, 978-1-07-160737-4
|
| Authors |
Rafał Kulik, Philippe Soulier |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| United States | 2 | 2% |
| India | 1 | 1% |
| Ghana | 1 | 1% |
| Unknown | 82 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 27% |
| Student > Master | 12 | 14% |
| Researcher | 11 | 13% |
| Student > Bachelor | 7 | 8% |
| Professor > Associate Professor | 5 | 6% |
| Other | 14 | 16% |
| Unknown | 15 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 21 | 24% |
| Mathematics | 12 | 14% |
| Computer Science | 11 | 13% |
| Agricultural and Biological Sciences | 6 | 7% |
| Physics and Astronomy | 3 | 3% |
| Other | 15 | 17% |
| Unknown | 20 | 23% |