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X Demographics
Mendeley readers
| Chapter title |
What FinTech Can Learn from High-Frequency Trading: Economic Consequences, Open Issues and Future of Corporate Disclosure
|
|---|---|
| Chapter number | 4 |
| Book title |
Disrupting Finance
|
| Published by |
Palgrave Pivot, Cham, December 2018
|
| DOI | 10.1007/978-3-030-02330-0_4 |
| Book ISBNs |
978-3-03-002329-4, 978-3-03-002330-0
|
| Authors |
Eleonora Monaco |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 14% |
| United Kingdom | 1 | 14% |
| France | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 15% |
| Unspecified | 2 | 10% |
| Lecturer > Senior Lecturer | 2 | 10% |
| Student > Doctoral Student | 2 | 10% |
| Lecturer | 2 | 10% |
| Other | 2 | 10% |
| Unknown | 7 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 5 | 25% |
| Business, Management and Accounting | 4 | 20% |
| Unspecified | 2 | 10% |
| Earth and Planetary Sciences | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 7 | 35% |