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Recognition of cavitation characteristics in non-clogging pumps based on the improved Lévy flight bat algorithm

Overview of attention for article published in Frontiers in Energy Research, November 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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1 Mendeley
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Title
Recognition of cavitation characteristics in non-clogging pumps based on the improved Lévy flight bat algorithm
Published in
Frontiers in Energy Research, November 2023
DOI 10.3389/fenrg.2023.1335227
Authors

Tao Lang, Chen Ni, Keqiang Chen, Enxiang Xu, Jia Yin, Xi Shen, Xing Wu, Desheng Zhang

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 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 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 03 December 2023.
All research outputs
#21,182,440
of 26,020,829 outputs
Outputs from Frontiers in Energy Research
#930
of 4,728 outputs
Outputs of similar age
#266,289
of 377,151 outputs
Outputs of similar age from Frontiers in Energy Research
#13
of 308 outputs
Altmetric has tracked 26,020,829 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,728 research outputs from this source. They receive a mean Attention Score of 1.6. This one has gotten more attention than average, scoring higher than 66% 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 377,151 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 308 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 66% of its contemporaries.