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Optimizing decomposition of software architecture for local recovery

Overview of attention for article published in Software Quality Journal, November 2011
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About this Attention Score

  • Among the highest-scoring outputs from this source (#26 of 145)
  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
1 patent

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
32 Mendeley
Title
Optimizing decomposition of software architecture for local recovery
Published in
Software Quality Journal, November 2011
DOI 10.1007/s11219-011-9171-6
Authors

Hasan Sözer, Bedir Tekinerdoğan, Mehmet Akşit

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 28%
Researcher 5 16%
Student > Ph. D. Student 5 16%
Student > Bachelor 4 13%
Professor > Associate Professor 3 9%
Other 3 9%
Unknown 3 9%
Readers by discipline Count As %
Computer Science 19 59%
Engineering 5 16%
Nursing and Health Professions 1 3%
Medicine and Dentistry 1 3%
Business, Management and Accounting 1 3%
Other 0 0%
Unknown 5 16%
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 27 January 2022.
All research outputs
#7,536,586
of 22,994,508 outputs
Outputs from Software Quality Journal
#26
of 145 outputs
Outputs of similar age
#70,050
of 241,164 outputs
Outputs of similar age from Software Quality Journal
#1
of 2 outputs
Altmetric has tracked 22,994,508 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 145 research outputs from this source. They receive a mean Attention Score of 3.3. 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 241,164 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% 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. This one has scored higher than all of them