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Mendeley readers
Title |
Forecasting cryptocurrency returns and volume using search engines
|
---|---|
Published in |
Financial Innovation, January 2019
|
DOI | 10.1186/s40854-018-0119-8 |
Authors |
Muhammad Ali Nasir, Toan Luu Duc Huynh, Sang Phu Nguyen, Duy Duong |
Mendeley readers
The data shown below were compiled from readership statistics for 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 177 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 22 | 12% |
Student > Ph. D. Student | 18 | 10% |
Lecturer | 16 | 9% |
Student > Master | 15 | 8% |
Researcher | 10 | 6% |
Other | 20 | 11% |
Unknown | 76 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 34 | 19% |
Economics, Econometrics and Finance | 29 | 16% |
Computer Science | 17 | 10% |
Social Sciences | 5 | 3% |
Engineering | 4 | 2% |
Other | 8 | 5% |
Unknown | 80 | 45% |