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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

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
3 X users
facebook
1 Facebook page
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
27 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

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 33%
Researcher 3 11%
Student > Doctoral Student 2 7%
Other 2 7%
Student > Postgraduate 2 7%
Other 5 19%
Unknown 4 15%
Readers by discipline Count As %
Computer Science 18 67%
Engineering 2 7%
Medicine and Dentistry 1 4%
Unknown 6 22%
Attention Score in Context

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 25 January 2021.
All research outputs
#5,939,333
of 22,977,819 outputs
Outputs from Empirical Software Engineering
#162
of 706 outputs
Outputs of similar age
#118,520
of 440,456 outputs
Outputs of similar age from Empirical Software Engineering
#10
of 28 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 706 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 77% 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 440,456 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 72% of its contemporaries.
We're also able to compare this research output to 28 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 64% of its contemporaries.