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Intelligent Detection of Steel Defects Based on Improved Split Attention Networks

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, January 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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53 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Intelligent Detection of Steel Defects Based on Improved Split Attention Networks
Published in
Frontiers in Bioengineering and Biotechnology, January 2022
DOI 10.3389/fbioe.2021.810876
Pubmed ID
Authors

Zhiqiang Hao, Zhigang Wang, Dongxu Bai, Bo Tao, Xiliang Tong, Baojia Chen

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 8%
Student > Ph. D. Student 1 8%
Other 1 8%
Student > Doctoral Student 1 8%
Unknown 9 69%
Readers by discipline Count As %
Engineering 2 15%
Social Sciences 2 15%
Unspecified 1 8%
Unknown 8 62%
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 13 January 2022.
All research outputs
#17,806,995
of 22,875,477 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#2,900
of 6,621 outputs
Outputs of similar age
#342,184
of 503,712 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#240
of 563 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,621 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 48th percentile – i.e., 48% 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 503,712 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 563 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 50% of its contemporaries.