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X Demographics
Mendeley readers
| Title |
Machine Learning in Finance
|
|---|---|
| Published by |
Springer International Publishing, June 2020
|
| DOI | 10.1007/978-3-030-41068-1 |
| ISBNs |
978-3-03-041067-4, 978-3-03-041068-1
|
| Authors |
Dixon, Matthew F., Halperin, Igor, Bilokon, Paul |
X Demographics
The data shown below were collected from the profiles of 99 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 12% |
| Brazil | 4 | 4% |
| United Kingdom | 3 | 3% |
| Colombia | 3 | 3% |
| Spain | 2 | 2% |
| Mexico | 2 | 2% |
| Canada | 2 | 2% |
| Italy | 2 | 2% |
| Poland | 1 | 1% |
| Other | 20 | 20% |
| Unknown | 48 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 85 | 86% |
| Scientists | 11 | 11% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 248 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 248 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 13% |
| Student > Master | 31 | 13% |
| Researcher | 24 | 10% |
| Student > Bachelor | 20 | 8% |
| Student > Doctoral Student | 10 | 4% |
| Other | 20 | 8% |
| Unknown | 111 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 31 | 13% |
| Computer Science | 27 | 11% |
| Engineering | 22 | 9% |
| Business, Management and Accounting | 12 | 5% |
| Social Sciences | 7 | 3% |
| Other | 32 | 13% |
| Unknown | 117 | 47% |