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What’s decidable about parametric timed automata?

Overview of attention for article published in International Journal on Software Tools for Technology Transfer, July 2017
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Mentioned by

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3 X users

Citations

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50 Dimensions

Readers on

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10 Mendeley
Title
What’s decidable about parametric timed automata?
Published in
International Journal on Software Tools for Technology Transfer, July 2017
DOI 10.1007/s10009-017-0467-0
Authors

Étienne André

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Student > Master 2 20%
Student > Doctoral Student 1 10%
Unknown 5 50%
Readers by discipline Count As %
Engineering 3 30%
Computer Science 2 20%
Unknown 5 50%
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 04 July 2019.
All research outputs
#14,359,314
of 22,994,508 outputs
Outputs from International Journal on Software Tools for Technology Transfer
#74
of 111 outputs
Outputs of similar age
#176,291
of 316,703 outputs
Outputs of similar age from International Journal on Software Tools for Technology Transfer
#2
of 3 outputs
Altmetric has tracked 22,994,508 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 111 research outputs from this source. They receive a mean Attention Score of 2.5. 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 316,703 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.