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A path-aware approach to mutant reduction in mutation testing

Overview of attention for article published in Information & Software Technology, January 2017
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
17 Mendeley
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Title
A path-aware approach to mutant reduction in mutation testing
Published in
Information & Software Technology, January 2017
DOI 10.1016/j.infsof.2016.02.006
Authors

Chang-ai Sun, Feifei Xue, Huai Liu, Xiangyu Zhang

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 29%
Student > Ph. D. Student 4 24%
Student > Bachelor 2 12%
Unspecified 2 12%
Other 1 6%
Other 3 18%
Readers by discipline Count As %
Computer Science 15 88%
Unspecified 2 12%

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 29 January 2017.
All research outputs
#7,684,973
of 12,299,679 outputs
Outputs from Information & Software Technology
#365
of 647 outputs
Outputs of similar age
#146,360
of 264,930 outputs
Outputs of similar age from Information & Software Technology
#10
of 19 outputs
Altmetric has tracked 12,299,679 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 647 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 33rd percentile – i.e., 33% 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 264,930 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.