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Split-Masking: An Output Masking Scheme for Effective Compound Defect Diagnosis in Scan Architecture with Test Compression

Overview of attention for article published in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, May 2010
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1 patent

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1 Mendeley
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Article details
Title
Split-Masking: An Output Masking Scheme for Effective Compound Defect Diagnosis in Scan Architecture with Test Compression
Published in
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, May 2010
DOI 10.1109/tcad.2010.2043758
Authors

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline
Readers by discipline Count As %
Engineering 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 December 2013.
All research outputs
#7,561,502
of 23,065,445 outputs
Outputs from IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
#313
of 2,166 outputs
Outputs of similar age
#34,824
of 96,219 outputs
Outputs of similar age from IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
#2
of 11 outputs
Altmetric has tracked 23,065,445 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,166 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 7th percentile – i.e., 7% 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 96,219 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.