| Title |
Novel modelling strategies for high-frequency stock trading data
|
|---|---|
| Published in |
Financial Innovation, January 2023
|
| DOI | 10.1186/s40854-022-00431-9 |
| Pubmed ID | |
| Authors |
Xuekui Zhang, Yuying Huang, Ke Xu, Li Xing |
X Demographics
The data shown below were collected from the profiles of 23 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 | 3 | 13% |
| Korea, Republic of | 1 | 4% |
| Canada | 1 | 4% |
| Unknown | 18 | 78% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 96% |
| Scientists | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 16% |
| Unspecified | 2 | 11% |
| Researcher | 2 | 11% |
| Student > Bachelor | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 10 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 11% |
| Mathematics | 2 | 11% |
| Business, Management and Accounting | 2 | 11% |
| Computer Science | 1 | 5% |
| Economics, Econometrics and Finance | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 26 September 2023.
All research outputs
#2,410,679
of 25,392,582 outputs
Outputs from Financial Innovation
#21
of 218 outputs
Outputs of similar age
#49,657
of 472,300 outputs
Outputs of similar age from Financial Innovation
#1
of 19 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 218 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 90% 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 472,300 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.