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Generalized algorithmic debugging and testing

Overview of attention for article published in ACM Letters on Programming Languages and Systems, December 1992
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Mentioned by

patent
2 patents

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Generalized algorithmic debugging and testing
Published in
ACM Letters on Programming Languages and Systems, December 1992
DOI 10.1145/161494.161498
Authors

Peter Fritzson, Nahid Shahmehri, Mariam Kamkar, Tibor Gyimothy

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 11%
Brazil 1 11%
Unknown 7 78%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Researcher 3 33%
Professor > Associate Professor 1 11%
Student > Master 1 11%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 7 78%
Unknown 2 22%
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 10 January 2006.
All research outputs
#7,559,215
of 23,058,939 outputs
Outputs from ACM Letters on Programming Languages and Systems
#8
of 22 outputs
Outputs of similar age
#13,061
of 65,425 outputs
Outputs of similar age from ACM Letters on Programming Languages and Systems
#2
of 3 outputs
Altmetric has tracked 23,058,939 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 22 research outputs from this source. They receive a mean Attention Score of 3.8. This one scored the same or higher as 14 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 65,425 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% 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.