| Title |
Will high-frequency trading practices transform the financial markets in the Asia Pacific Region?
|
|---|---|
| Published in |
Financial Innovation, June 2015
|
| DOI | 10.1186/s40854-015-0003-8 |
| Authors |
Robert J. Kauffman, Yuzhou Hu, Dan Ma |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Estonia | 1 | 2% |
| Unknown | 41 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 17% |
| Student > Bachelor | 6 | 14% |
| Lecturer | 5 | 12% |
| Student > Ph. D. Student | 5 | 12% |
| Researcher | 3 | 7% |
| Other | 8 | 19% |
| Unknown | 8 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 16 | 38% |
| Business, Management and Accounting | 6 | 14% |
| Computer Science | 6 | 14% |
| Unspecified | 2 | 5% |
| Decision Sciences | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 9 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 August 2016.
All research outputs
#1,184,820
of 22,842,950 outputs
Outputs from Financial Innovation
#10
of 151 outputs
Outputs of similar age
#15,992
of 266,369 outputs
Outputs of similar age from Financial Innovation
#2
of 6 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 266,369 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.