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Correctness attraction: a study of stability of software behavior under runtime perturbation

Overview of attention for article published in Empirical Software Engineering, December 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
3 tweeters
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
12 Mendeley
Title
Correctness attraction: a study of stability of software behavior under runtime perturbation
Published in
Empirical Software Engineering, December 2017
DOI 10.1007/s10664-017-9571-8
Authors

Benjamin Danglot, Philippe Preux, Benoit Baudry, Martin Monperrus

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 33%
Researcher 3 25%
Lecturer 1 8%
Student > Master 1 8%
Student > Doctoral Student 1 8%
Other 2 17%
Readers by discipline Count As %
Computer Science 7 58%
Unspecified 2 17%
Engineering 2 17%
Medicine and Dentistry 1 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 18 April 2019.
All research outputs
#3,060,263
of 12,961,283 outputs
Outputs from Empirical Software Engineering
#88
of 422 outputs
Outputs of similar age
#75,050
of 267,579 outputs
Outputs of similar age from Empirical Software Engineering
#6
of 21 outputs
Altmetric has tracked 12,961,283 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 422 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 79% of its peers.
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 267,579 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 71% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.