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Using genetic programming to evolve action selection rules in traversal-based automated software testing: results obtained with the TESTAR tool

Overview of attention for article published in Memetic Computing, June 2018
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Mentioned by

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2 X users

Citations

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mendeley
19 Mendeley
Title
Using genetic programming to evolve action selection rules in traversal-based automated software testing: results obtained with the TESTAR tool
Published in
Memetic Computing, June 2018
DOI 10.1007/s12293-018-0263-8
Authors

Anna I. Esparcia-Alcázar, Francisco Almenar, Tanja E. J. Vos, Urko Rueda

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 21%
Researcher 3 16%
Student > Ph. D. Student 2 11%
Student > Postgraduate 2 11%
Student > Bachelor 1 5%
Other 1 5%
Unknown 6 32%
Readers by discipline Count As %
Computer Science 10 53%
Psychology 1 5%
Engineering 1 5%
Unknown 7 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 September 2019.
All research outputs
#15,009,334
of 23,090,520 outputs
Outputs from Memetic Computing
#21
of 37 outputs
Outputs of similar age
#198,189
of 328,920 outputs
Outputs of similar age from Memetic Computing
#1
of 1 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37 research outputs from this source. They receive a mean Attention Score of 2.0. This one scored the same or higher as 16 of them.
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 328,920 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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