| Title |
An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination
|
|---|---|
| Published in |
Financial Innovation, April 2021
|
| DOI | 10.1186/s40854-021-00243-3 |
| Authors |
Hakan Gunduz |
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 % |
|---|---|---|
| China | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 95 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 16% |
| Student > Master | 8 | 8% |
| Researcher | 6 | 6% |
| Lecturer | 5 | 5% |
| Student > Doctoral Student | 3 | 3% |
| Other | 10 | 11% |
| Unknown | 48 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 23 | 24% |
| Economics, Econometrics and Finance | 8 | 8% |
| Business, Management and Accounting | 7 | 7% |
| Engineering | 5 | 5% |
| Medicine and Dentistry | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 47 | 49% |
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 28 April 2021.
All research outputs
#15,685,238
of 23,308,124 outputs
Outputs from Financial Innovation
#90
of 164 outputs
Outputs of similar age
#259,733
of 434,483 outputs
Outputs of similar age from Financial Innovation
#8
of 19 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 164 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 434,483 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% 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 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.