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Crack identification of automobile steering knuckle fluorescent penetrant inspection based on deep convolutional generative adversarial networks data enhancement

Overview of attention for article published in Frontiers in Physics, December 2022
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Title
Crack identification of automobile steering knuckle fluorescent penetrant inspection based on deep convolutional generative adversarial networks data enhancement
Published in
Frontiers in Physics, December 2022
DOI 10.3389/fphy.2022.1081805
Authors

Yun Yang, Zhou Min, Jinzhao Zuo, Baohu Han, Long Li

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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 07 January 2023.
All research outputs
#20,884,233
of 23,504,694 outputs
Outputs from Frontiers in Physics
#1,689
of 3,805 outputs
Outputs of similar age
#351,196
of 442,495 outputs
Outputs of similar age from Frontiers in Physics
#91
of 362 outputs
Altmetric has tracked 23,504,694 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,805 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 442,495 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 362 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.