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Ranking software components for reuse based on non-functional properties

Overview of attention for article published in Information Systems Frontiers, July 2016
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Mentioned by

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1 X user

Citations

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7 Dimensions

Readers on

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37 Mendeley
Title
Ranking software components for reuse based on non-functional properties
Published in
Information Systems Frontiers, July 2016
DOI 10.1007/s10796-016-9685-3
Authors

Marcus Kessel, Colin Atkinson

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 30%
Student > Master 8 22%
Student > Doctoral Student 4 11%
Lecturer 1 3%
Professor 1 3%
Other 3 8%
Unknown 9 24%
Readers by discipline Count As %
Computer Science 23 62%
Unspecified 2 5%
Engineering 2 5%
Physics and Astronomy 1 3%
Unknown 9 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 August 2016.
All research outputs
#18,466,751
of 22,881,964 outputs
Outputs from Information Systems Frontiers
#255
of 311 outputs
Outputs of similar age
#280,548
of 364,038 outputs
Outputs of similar age from Information Systems Frontiers
#8
of 9 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 311 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 6th percentile – i.e., 6% 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 364,038 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
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.