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An experimental search-based approach to cohesion metric evaluation

Overview of attention for article published in Empirical Software Engineering, April 2016
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Mentioned by

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1 Facebook page

Citations

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16 Dimensions

Readers on

mendeley
46 Mendeley
Title
An experimental search-based approach to cohesion metric evaluation
Published in
Empirical Software Engineering, April 2016
DOI 10.1007/s10664-016-9427-7
Authors

Mel Ó Cinnéide, Iman Hemati Moghadam, Mark Harman, Steve Counsell, Laurence Tratt

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Chile 1 2%
United States 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 37%
Professor 4 9%
Researcher 4 9%
Student > Master 4 9%
Professor > Associate Professor 3 7%
Other 5 11%
Unknown 9 20%
Readers by discipline Count As %
Computer Science 31 67%
Engineering 3 7%
Economics, Econometrics and Finance 1 2%
Unknown 11 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 23 February 2017.
All research outputs
#20,335,423
of 22,880,230 outputs
Outputs from Empirical Software Engineering
#624
of 705 outputs
Outputs of similar age
#254,985
of 300,884 outputs
Outputs of similar age from Empirical Software Engineering
#5
of 10 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 705 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% 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 300,884 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.