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Mendeley readers
Chapter title |
Bootstrap
|
---|---|
Chapter number | 12 |
Book title |
Heavy-Tailed Time Series
|
Published by |
Springer, New York, NY, January 2020
|
DOI | 10.1007/978-1-0716-0737-4_12 |
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 1,770 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 8 | <1% |
United States | 8 | <1% |
Spain | 4 | <1% |
United Kingdom | 4 | <1% |
Austria | 4 | <1% |
Indonesia | 3 | <1% |
Switzerland | 3 | <1% |
Brazil | 2 | <1% |
Australia | 2 | <1% |
Other | 24 | 1% |
Unknown | 1708 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 379 | 21% |
Student > Master | 269 | 15% |
Student > Ph. D. Student | 190 | 11% |
Researcher | 114 | 6% |
Other | 76 | 4% |
Other | 221 | 12% |
Unknown | 521 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 407 | 23% |
Engineering | 175 | 10% |
Medicine and Dentistry | 95 | 5% |
Agricultural and Biological Sciences | 89 | 5% |
Business, Management and Accounting | 59 | 3% |
Other | 400 | 23% |
Unknown | 545 | 31% |