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FLAME: a formal framework for the automated analysis of software product lines validated by automated specification testing

Overview of attention for article published in Software and Systems Modeling, December 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
59 Mendeley
Title
FLAME: a formal framework for the automated analysis of software product lines validated by automated specification testing
Published in
Software and Systems Modeling, December 2015
DOI 10.1007/s10270-015-0503-z
Authors

Amador Durán, David Benavides, Sergio Segura, Pablo Trinidad, Antonio Ruiz-Cortés

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Belgium 1 2%
Unknown 57 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 20%
Student > Master 9 15%
Researcher 5 8%
Student > Doctoral Student 3 5%
Professor 3 5%
Other 12 20%
Unknown 15 25%
Readers by discipline Count As %
Computer Science 32 54%
Engineering 7 12%
Business, Management and Accounting 2 3%
Sports and Recreations 1 2%
Unknown 17 29%
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 17 September 2020.
All research outputs
#14,703,598
of 25,732,188 outputs
Outputs from Software and Systems Modeling
#209
of 767 outputs
Outputs of similar age
#191,210
of 398,104 outputs
Outputs of similar age from Software and Systems Modeling
#1
of 8 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 767 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 71% of its peers.
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 398,104 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 51% of its contemporaries.
We're also able to compare this research output to 8 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