| Title |
Density-based unsupervised ensemble learning methods for time series forecasting of aggregated or clustered electricity consumption
|
|---|---|
| Published in |
Journal of Intelligent Information Systems, March 2019
|
| DOI | 10.1007/s10844-019-00550-3 |
| Authors |
Peter Laurinec, Marek Lóderer, Mária Lucká, Viera Rozinajová |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 17% |
| Finland | 1 | 17% |
| United States | 1 | 17% |
| Slovakia | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 19% |
| Student > Ph. D. Student | 7 | 15% |
| Researcher | 6 | 13% |
| Student > Doctoral Student | 4 | 8% |
| Lecturer | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 12 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 19% |
| Engineering | 9 | 19% |
| Energy | 6 | 13% |
| Mathematics | 3 | 6% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 17 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 27 February 2020.
All research outputs
#2,199,051
of 24,707,218 outputs
Outputs from Journal of Intelligent Information Systems
#2
of 197 outputs
Outputs of similar age
#49,002
of 358,074 outputs
Outputs of similar age from Journal of Intelligent Information Systems
#2
of 3 outputs
Altmetric has tracked 24,707,218 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 197 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 99% 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 358,074 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 86% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.