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Evaluating defect prediction approaches: a benchmark and an extensive comparison

Overview of attention for article published in Empirical Software Engineering, August 2011
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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 (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

patent
4 patents

Readers on

mendeley
326 Mendeley
citeulike
1 CiteULike
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Article details
Title
Evaluating defect prediction approaches: a benchmark and an extensive comparison
Published in
Empirical Software Engineering, August 2011
DOI 10.1007/s10664-011-9173-9
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 326 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 <1%
Turkey 2 <1%
New Zealand 1 <1%
Norway 1 <1%
Korea, Republic of 1 <1%
Japan 1 <1%
Italy 1 <1%
Iran, Islamic Republic of 1 <1%
India 1 <1%
Other 4 1%
Unknown 310 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 78 24%
Student > Ph. D. Student 73 22%
Researcher 24 7%
Professor > Associate Professor 15 5%
Student > Bachelor 13 4%
Other 59 18%
Unknown 64 20%
Readers by discipline
Readers by discipline Count As %
Computer Science 218 67%
Engineering 16 5%
Unspecified 2 <1%
Economics, Econometrics and Finance 2 <1%
Social Sciences 2 <1%
Other 4 1%
Unknown 82 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 04 February 2025.
All research outputs
#5,862,421
of 26,855,855 outputs
Outputs from Empirical Software Engineering
#139
of 829 outputs
Outputs of similar age
#29,463
of 136,737 outputs
Outputs of similar age from Empirical Software Engineering
#2
of 9 outputs
Altmetric has tracked 26,855,855 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 829 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 82% 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 136,737 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 73% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.