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Improved verification of hardware designs through antecedent conditioned slicing

Overview of attention for article published in International Journal on Software Tools for Technology Transfer, July 2006
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About this Attention Score

  • Among the highest-scoring outputs from this source (#17 of 111)

Mentioned by

patent
1 patent

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
4 Mendeley
citeulike
2 CiteULike
Title
Improved verification of hardware designs through antecedent conditioned slicing
Published in
International Journal on Software Tools for Technology Transfer, July 2006
DOI 10.1007/s10009-006-0022-x
Authors

Shobha Vasudevan, E. Allen Emerson, Jacob A. Abraham

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 25%
Australia 1 25%
Unknown 2 50%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 75%
Other 1 25%
Readers by discipline Count As %
Computer Science 4 100%
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 12 November 2013.
All research outputs
#7,561,502
of 23,065,445 outputs
Outputs from International Journal on Software Tools for Technology Transfer
#17
of 111 outputs
Outputs of similar age
#23,229
of 66,208 outputs
Outputs of similar age from International Journal on Software Tools for Technology Transfer
#2
of 3 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 111 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 45th percentile – i.e., 45% 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 66,208 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 3 others from the same source and published within six weeks on either side of this one.