| Title |
A comprehensive evaluation of ensemble learning for stock-market prediction
|
|---|---|
| Published in |
Journal of Big Data, March 2020
|
| DOI | 10.1186/s40537-020-00299-5 |
| Authors |
Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| India | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 310 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 310 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 39 | 13% |
| Student > Ph. D. Student | 34 | 11% |
| Lecturer | 21 | 7% |
| Student > Bachelor | 20 | 6% |
| Researcher | 12 | 4% |
| Other | 40 | 13% |
| Unknown | 144 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 84 | 27% |
| Engineering | 23 | 7% |
| Business, Management and Accounting | 9 | 3% |
| Economics, Econometrics and Finance | 7 | 2% |
| Unspecified | 6 | 2% |
| Other | 27 | 9% |
| Unknown | 154 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 02 April 2023.
All research outputs
#6,099,875
of 23,509,253 outputs
Outputs from Journal of Big Data
#103
of 356 outputs
Outputs of similar age
#113,722
of 365,201 outputs
Outputs of similar age from Journal of Big Data
#5
of 12 outputs
Altmetric has tracked 23,509,253 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 356 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 70% 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 365,201 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.