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Water level control of nuclear steam generators using intelligent hierarchical autonomous controller

Overview of attention for article published in Frontiers in Energy Research, February 2024
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About this Attention Score

  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
4 Mendeley
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Title
Water level control of nuclear steam generators using intelligent hierarchical autonomous controller
Published in
Frontiers in Energy Research, February 2024
DOI 10.3389/fenrg.2024.1341103
Authors

Binsen Peng, Xintong Ma, Hong Xia

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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 50%
Researcher 1 25%
Unknown 1 25%
Readers by discipline Count As %
Unspecified 2 50%
Engineering 1 25%
Unknown 1 25%
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 17 February 2024.
All research outputs
#20,845,550
of 26,482,830 outputs
Outputs from Frontiers in Energy Research
#811
of 4,922 outputs
Outputs of similar age
#253,150
of 382,366 outputs
Outputs of similar age from Frontiers in Energy Research
#35
of 350 outputs
Altmetric has tracked 26,482,830 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,922 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done well, scoring higher than 79% 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 382,366 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 350 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.