| Title |
Market impact analysis via deep learned architectures
|
|---|---|
| Published in |
Neural Computing and Applications, March 2018
|
| DOI | 10.1007/s00521-018-3415-3 |
| Authors |
Xiaodong Li, Jingjing Cao, Zhaoqing Pan |
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 % |
|---|---|---|
| United Kingdom | 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 18% |
| Student > Ph. D. Student | 7 | 16% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Researcher | 3 | 7% |
| Other | 6 | 13% |
| Unknown | 15 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 36% |
| Business, Management and Accounting | 6 | 13% |
| Economics, Econometrics and Finance | 4 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Unspecified | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 15 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 19 March 2018.
All research outputs
#18,563,902
of 23,839,820 outputs
Outputs from Neural Computing and Applications
#967
of 2,407 outputs
Outputs of similar age
#245,391
of 335,422 outputs
Outputs of similar age from Neural Computing and Applications
#14
of 19 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,407 research outputs from this source. They receive a mean Attention Score of 1.3. This one has gotten more attention than average, scoring higher than 55% 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 335,422 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
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 is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.