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Wind power forecasting errors modelling approach considering temporal and spatial dependence

Overview of attention for article published in Journal of Modern Power Systems and Clean Energy, January 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

peer_reviews
1 peer review site

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
38 Mendeley
Title
Wind power forecasting errors modelling approach considering temporal and spatial dependence
Published in
Journal of Modern Power Systems and Clean Energy, January 2017
DOI 10.1007/s40565-016-0263-y
Authors

Wei Hu, Yong Min, Yifan Zhou, Qiuyu Lu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 29%
Student > Master 5 13%
Researcher 5 13%
Student > Doctoral Student 4 11%
Student > Bachelor 2 5%
Other 2 5%
Unknown 9 24%
Readers by discipline Count As %
Engineering 14 37%
Energy 4 11%
Computer Science 2 5%
Business, Management and Accounting 1 3%
Linguistics 1 3%
Other 4 11%
Unknown 12 32%
Attention Score in Context

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 29 April 2018.
All research outputs
#15,506,823
of 23,045,021 outputs
Outputs from Journal of Modern Power Systems and Clean Energy
#75
of 360 outputs
Outputs of similar age
#258,158
of 422,559 outputs
Outputs of similar age from Journal of Modern Power Systems and Clean Energy
#6
of 20 outputs
Altmetric has tracked 23,045,021 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 360 research outputs from this source. They receive a mean Attention Score of 1.5. This one is in the 3rd percentile – i.e., 3% 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 422,559 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 20 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.