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A cone-based genetic optimization procedure for test generation and its application to n-detections in combinational circuits

Overview of attention for article published in IEEE Transactions on Computers, January 1999
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patent
2 patents

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2 Mendeley
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Article details
Title
A cone-based genetic optimization procedure for test generation and its application to n-detections in combinational circuits
Published in
IEEE Transactions on Computers, January 1999
DOI 10.1109/12.805164
Authors

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Professor > Associate Professor 1 50%
Other 1 50%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Computer Science 1 50%
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 02 December 2014.
All research outputs
#8,535,684
of 25,377,790 outputs
Outputs from IEEE Transactions on Computers
#865
of 3,059 outputs
Outputs of similar age
#24,658
of 109,593 outputs
Outputs of similar age from IEEE Transactions on Computers
#5
of 31 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,059 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 5th percentile – i.e., 5% 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 109,593 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 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.