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Current challenges in automatic software repair

Overview of attention for article published in Software Quality Journal, June 2013
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About this Attention Score

  • Among the highest-scoring outputs from this source (#24 of 144)
  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
2 Wikipedia pages

Readers on

mendeley
170 Mendeley
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Title
Current challenges in automatic software repair
Published in
Software Quality Journal, June 2013
DOI 10.1007/s11219-013-9208-0
Authors

Claire Le Goues, Stephanie Forrest, Westley Weimer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 1%
Brazil 1 <1%
United Kingdom 1 <1%
Korea, Republic of 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 163 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 31%
Student > Master 41 24%
Researcher 21 12%
Student > Bachelor 10 6%
Student > Postgraduate 6 4%
Other 24 14%
Unknown 16 9%
Readers by discipline Count As %
Computer Science 139 82%
Engineering 4 2%
Unspecified 2 1%
Agricultural and Biological Sciences 2 1%
Biochemistry, Genetics and Molecular Biology 1 <1%
Other 2 1%
Unknown 20 12%
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 23 May 2021.
All research outputs
#7,454,066
of 22,788,370 outputs
Outputs from Software Quality Journal
#24
of 144 outputs
Outputs of similar age
#65,947
of 197,576 outputs
Outputs of similar age from Software Quality Journal
#1
of 5 outputs
Altmetric has tracked 22,788,370 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 144 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 57% 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 197,576 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 50% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them