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An effective method for modeling wind power forecast uncertainty

Overview of attention for article published in Energy Systems, June 2013
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
30 Mendeley
Title
An effective method for modeling wind power forecast uncertainty
Published in
Energy Systems, June 2013
DOI 10.1007/s12667-013-0083-3
Authors

Brandon Mauch, Jay Apt, Pedro M. S. Carvalho, Mitchell J. Small

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 27%
Student > Master 6 20%
Student > Bachelor 4 13%
Student > Doctoral Student 3 10%
Researcher 3 10%
Other 2 7%
Unknown 4 13%
Readers by discipline Count As %
Engineering 16 53%
Computer Science 3 10%
Economics, Econometrics and Finance 2 7%
Energy 2 7%
Physics and Astronomy 1 3%
Other 1 3%
Unknown 5 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 January 2016.
All research outputs
#7,499,357
of 22,919,505 outputs
Outputs from Energy Systems
#16
of 41 outputs
Outputs of similar age
#65,300
of 193,839 outputs
Outputs of similar age from Energy Systems
#1
of 1 outputs
Altmetric has tracked 22,919,505 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 41 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one scored the same or higher as 25 of them.
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 193,839 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 51% of its contemporaries.
We're also able to compare this research output to 1 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