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Adaptive finite-time parameter estimation for grid-connected converter with LCL filter

Overview of attention for article published in Frontiers in Energy Research, September 2022
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  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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2 X users

Readers on

mendeley
1 Mendeley
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Title
Adaptive finite-time parameter estimation for grid-connected converter with LCL filter
Published in
Frontiers in Energy Research, September 2022
DOI 10.3389/fenrg.2022.964216
Authors

Xinze Xi, Zhenghao Shi, Xian Wang, Chao Xing, Shengnan Li

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 100%
Readers by discipline Count As %
Engineering 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 12 July 2023.
All research outputs
#17,253,371
of 26,303,092 outputs
Outputs from Frontiers in Energy Research
#546
of 4,828 outputs
Outputs of similar age
#238,191
of 438,581 outputs
Outputs of similar age from Frontiers in Energy Research
#15
of 346 outputs
Altmetric has tracked 26,303,092 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,828 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done well, scoring higher than 88% 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 438,581 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 346 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.