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An Optimal Control Method for Storage Systems With Ramp Constraints, Based on an On-Going Trimming Process

Overview of attention for article published in IEEE Transactions on Control Systems Technology, May 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#46 of 787)
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet
facebook
1 Facebook page

Readers on

mendeley
5 Mendeley
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Title
An Optimal Control Method for Storage Systems With Ramp Constraints, Based on an On-Going Trimming Process
Published in
IEEE Transactions on Control Systems Technology, May 2022
DOI 10.1109/tcst.2022.3169906
Authors

Noa Zargari, Ron Ofir, Nilanjan Roy Chowdhury, Juri Belikov, Yoash Levron

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 20%
Unknown 4 80%
Readers by discipline Count As %
Engineering 1 20%
Unknown 4 80%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 25 October 2022.
All research outputs
#4,266,191
of 25,392,582 outputs
Outputs from IEEE Transactions on Control Systems Technology
#46
of 787 outputs
Outputs of similar age
#88,341
of 445,272 outputs
Outputs of similar age from IEEE Transactions on Control Systems Technology
#2
of 11 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 787 research outputs from this source. They receive a mean Attention Score of 4.2. 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 445,272 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 80% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.