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Automating extract class refactoring: an improved method and its evaluation

Overview of attention for article published in Empirical Software Engineering, May 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
2 patents

Readers on

mendeley
61 Mendeley
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Article details
Title
Automating extract class refactoring: an improved method and its evaluation
Published in
Empirical Software Engineering, May 2013
DOI 10.1007/s10664-013-9256-x
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 61 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 1 2%
Turkey 1 2%
Slovenia 1 2%
Norway 1 2%
Unknown 57 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 19 31%
Researcher 8 13%
Student > Master 7 11%
Professor > Associate Professor 7 11%
Student > Doctoral Student 5 8%
Other 9 15%
Unknown 6 10%
Readers by discipline
Readers by discipline Count As %
Computer Science 51 84%
Engineering 1 2%
Unknown 9 15%
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 05 May 2026.
All research outputs
#8,386,799
of 25,059,640 outputs
Outputs from Empirical Software Engineering
#299
of 766 outputs
Outputs of similar age
#67,892
of 197,547 outputs
Outputs of similar age from Empirical Software Engineering
#2
of 2 outputs
Altmetric has tracked 25,059,640 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 766 research outputs from this source. They receive a mean Attention Score of 4.7. 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 197,547 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.