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Mendeley readers
| Chapter title |
Efficient Market Hypothesis
|
|---|---|
| Chapter number | 9 |
| Book title |
Artificial Intelligence and Economic Theory: Skynet in the Market
|
| Published by |
Springer, Cham, January 2017
|
| DOI | 10.1007/978-3-319-66104-9_9 |
| Book ISBNs |
978-3-31-966103-2, 978-3-31-966104-9
|
| Authors |
Tshilidzi Marwala, Evan Hurwitz |
Mendeley readers
The data shown below were compiled from readership statistics for 664 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Brazil | 2 | <1% |
| Australia | 2 | <1% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Chile | 1 | <1% |
| Belgium | 1 | <1% |
| Denmark | 1 | <1% |
| China | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 651 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 134 | 20% |
| Student > Master | 122 | 18% |
| Student > Ph. D. Student | 71 | 11% |
| Student > Doctoral Student | 30 | 5% |
| Researcher | 29 | 4% |
| Other | 90 | 14% |
| Unknown | 188 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 185 | 28% |
| Business, Management and Accounting | 172 | 26% |
| Computer Science | 28 | 4% |
| Social Sciences | 18 | 3% |
| Engineering | 14 | 2% |
| Other | 53 | 8% |
| Unknown | 194 | 29% |