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A methodology for validating cloud models using metamorphic testing

Overview of attention for article published in Annals of Telecommunications, July 2014
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About this Attention Score

  • Among the highest-scoring outputs from this source (#34 of 161)
  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
15 Mendeley
Title
A methodology for validating cloud models using metamorphic testing
Published in
Annals of Telecommunications, July 2014
DOI 10.1007/s12243-014-0442-7
Authors

Alberto Núñez, Robert M. Hierons

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Other 2 13%
Student > Master 2 13%
Professor 1 7%
Researcher 1 7%
Other 0 0%
Unknown 5 33%
Readers by discipline Count As %
Computer Science 6 40%
Engineering 3 20%
Linguistics 1 7%
Unknown 5 33%
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 03 July 2018.
All research outputs
#7,967,425
of 23,975,976 outputs
Outputs from Annals of Telecommunications
#34
of 161 outputs
Outputs of similar age
#75,525
of 230,992 outputs
Outputs of similar age from Annals of Telecommunications
#1
of 1 outputs
Altmetric has tracked 23,975,976 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 161 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 31st percentile – i.e., 31% 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 230,992 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
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