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A Markov Regime Switching Model for Ultra-Short-Term Wind Power Prediction Based on Toeplitz Inverse Covariance Clustering

Overview of attention for article published in Frontiers in Energy Research, March 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
2 X users

Citations

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5 Dimensions

Readers on

mendeley
15 Mendeley
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Title
A Markov Regime Switching Model for Ultra-Short-Term Wind Power Prediction Based on Toeplitz Inverse Covariance Clustering
Published in
Frontiers in Energy Research, March 2021
DOI 10.3389/fenrg.2021.638797
Authors

Hang Fan, Xuemin Zhang, Shengwei Mei, Junzi Zhang

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 13%
Student > Ph. D. Student 2 13%
Other 1 7%
Lecturer > Senior Lecturer 1 7%
Student > Bachelor 1 7%
Other 0 0%
Unknown 8 53%
Readers by discipline Count As %
Engineering 2 13%
Computer Science 2 13%
Environmental Science 1 7%
Business, Management and Accounting 1 7%
Unknown 9 60%
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 11 March 2021.
All research outputs
#18,783,531
of 23,275,636 outputs
Outputs from Frontiers in Energy Research
#765
of 3,429 outputs
Outputs of similar age
#317,629
of 422,655 outputs
Outputs of similar age from Frontiers in Energy Research
#50
of 170 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,429 research outputs from this source. They receive a mean Attention Score of 1.7. This one has gotten more attention than average, scoring higher than 61% 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 422,655 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 170 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.