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An evolutionary classifier for steel surface defects with small sample set

Overview of attention for article published in EURASIP Journal on Image and Video Processing, July 2017
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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47 Dimensions

Readers on

mendeley
32 Mendeley
Title
An evolutionary classifier for steel surface defects with small sample set
Published in
EURASIP Journal on Image and Video Processing, July 2017
DOI 10.1186/s13640-017-0197-y
Authors

Mang Xiao, Mingming Jiang, Guangyao Li, Li Xie, Li Yi

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 19%
Student > Ph. D. Student 4 13%
Student > Doctoral Student 3 9%
Student > Bachelor 2 6%
Researcher 2 6%
Other 2 6%
Unknown 13 41%
Readers by discipline Count As %
Engineering 7 22%
Computer Science 6 19%
Physics and Astronomy 1 3%
Unspecified 1 3%
Materials Science 1 3%
Other 1 3%
Unknown 15 47%
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 19 July 2017.
All research outputs
#20,660,571
of 25,382,440 outputs
Outputs from EURASIP Journal on Image and Video Processing
#163
of 233 outputs
Outputs of similar age
#237,946
of 307,458 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#11
of 16 outputs
Altmetric has tracked 25,382,440 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 233 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 14th percentile – i.e., 14% 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 307,458 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.