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The PFILSTM model: a crack recognition method based on pyramid features and memory mechanisms

Overview of attention for article published in Frontiers in Materials, February 2024
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Title
The PFILSTM model: a crack recognition method based on pyramid features and memory mechanisms
Published in
Frontiers in Materials, February 2024
DOI 10.3389/fmats.2023.1347176
Authors

Bin Chen, Mingyu Fan, Ke Li, Yusheng Gao, Yifu Wang, Yiqian Chen, Shuohui Yin, Junxia Sun

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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 14 February 2024.
All research outputs
#20,651,716
of 25,374,374 outputs
Outputs from Frontiers in Materials
#690
of 3,043 outputs
Outputs of similar age
#119,255
of 174,120 outputs
Outputs of similar age from Frontiers in Materials
#4
of 60 outputs
Altmetric has tracked 25,374,374 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 3,043 research outputs from this source. They receive a mean Attention Score of 1.6. This one is in the 34th percentile – i.e., 34% 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 174,120 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 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.