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X Demographics
Mendeley readers
Title |
Network Models to Enhance Automated Cryptocurrency Portfolio Management
|
---|---|
Published in |
Frontiers in Artificial Intelligence, April 2020
|
DOI | 10.3389/frai.2020.00022 |
Pubmed ID | |
Authors |
Paolo Giudici, Paolo Pagnottoni, Gloria Polinesi |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 13% |
Lecturer | 4 | 8% |
Professor > Associate Professor | 3 | 6% |
Student > Ph. D. Student | 3 | 6% |
Other | 2 | 4% |
Other | 7 | 15% |
Unknown | 23 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 10 | 21% |
Economics, Econometrics and Finance | 7 | 15% |
Social Sciences | 2 | 4% |
Computer Science | 2 | 4% |
Mathematics | 1 | 2% |
Other | 3 | 6% |
Unknown | 23 | 48% |