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Identifying Extract Class refactoring opportunities using structural and semantic cohesion measures

Overview of attention for article published in Journal of Systems & Software, March 2011
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patent
1 patent

Readers on

mendeley
86 Mendeley
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Article details
Title
Identifying Extract Class refactoring opportunities using structural and semantic cohesion measures
Published in
Journal of Systems & Software, March 2011
DOI 10.1016/j.jss.2010.11.918
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 86 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 2 2%
Canada 2 2%
Slovenia 1 1%
India 1 1%
Indonesia 1 1%
Unknown 79 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 25 29%
Student > Master 17 20%
Researcher 11 13%
Professor > Associate Professor 9 10%
Student > Doctoral Student 4 5%
Other 13 15%
Unknown 7 8%
Readers by discipline
Readers by discipline Count As %
Computer Science 68 79%
Engineering 5 6%
Social Sciences 2 2%
Design 1 1%
Unknown 10 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 01 February 2022.
All research outputs
#12,344,283
of 34,360,889 outputs
Outputs from Journal of Systems & Software
#609
of 2,090 outputs
Outputs of similar age
#65,607
of 162,041 outputs
Outputs of similar age from Journal of Systems & Software
#4
of 15 outputs
Altmetric has tracked 34,360,889 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,090 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 162,041 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.