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Semiconductor fault detection and classification for yield enhancement and manufacturing intelligence

Overview of attention for article published in Flexible Services and Manufacturing Journal, August 2012
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About this Attention Score

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

Mentioned by

patent
2 patents
facebook
1 Facebook page

Citations

dimensions_citation
100 Dimensions

Readers on

mendeley
65 Mendeley
Title
Semiconductor fault detection and classification for yield enhancement and manufacturing intelligence
Published in
Flexible Services and Manufacturing Journal, August 2012
DOI 10.1007/s10696-012-9161-4
Authors

Chen-Fu Chien, Chia-Yu Hsu, Pei-Nong Chen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 18%
Student > Ph. D. Student 10 15%
Student > Doctoral Student 6 9%
Student > Bachelor 4 6%
Researcher 3 5%
Other 10 15%
Unknown 20 31%
Readers by discipline Count As %
Engineering 21 32%
Computer Science 15 23%
Decision Sciences 2 3%
Neuroscience 2 3%
Materials Science 2 3%
Other 4 6%
Unknown 19 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 23 May 2023.
All research outputs
#7,466,261
of 23,468,283 outputs
Outputs from Flexible Services and Manufacturing Journal
#4
of 36 outputs
Outputs of similar age
#54,777
of 171,457 outputs
Outputs of similar age from Flexible Services and Manufacturing Journal
#1
of 1 outputs
Altmetric has tracked 23,468,283 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 36 research outputs from this source. They receive a mean Attention Score of 2.3. This one scored the same or higher as 32 of them.
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 171,457 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them