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Computing electricity spot price prediction intervals using quantile regression and forecast averaging

Overview of attention for article published in Computational Statistics, August 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 165)
  • High Attention Score compared to outputs of the same age (88th percentile)

Mentioned by

blogs
1 blog
wikipedia
5 Wikipedia pages

Readers on

mendeley
112 Mendeley
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Title
Computing electricity spot price prediction intervals using quantile regression and forecast averaging
Published in
Computational Statistics, August 2014
DOI 10.1007/s00180-014-0523-0
Authors

Jakub Nowotarski, Rafał Weron

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
France 1 <1%
Unknown 109 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 21%
Student > Master 21 19%
Student > Bachelor 10 9%
Researcher 9 8%
Student > Doctoral Student 8 7%
Other 14 13%
Unknown 27 24%
Readers by discipline Count As %
Engineering 26 23%
Computer Science 17 15%
Economics, Econometrics and Finance 12 11%
Mathematics 6 5%
Energy 6 5%
Other 12 11%
Unknown 33 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 30 May 2022.
All research outputs
#2,606,818
of 22,834,308 outputs
Outputs from Computational Statistics
#9
of 165 outputs
Outputs of similar age
#27,909
of 235,686 outputs
Outputs of similar age from Computational Statistics
#1
of 3 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 165 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 94% 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 235,686 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 88% 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. This one has scored higher than all of them