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Towards a bisimulation theory for open synchronized networks of automata

Overview of attention for article published in Science China Information Sciences, April 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
1 Mendeley
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Title
Towards a bisimulation theory for open synchronized networks of automata
Published in
Science China Information Sciences, April 2016
DOI 10.1007/s11432-016-5557-1
Authors

Eric Madelaine, Min Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Computer Science 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 16 December 2016.
All research outputs
#4,544,447
of 24,217,893 outputs
Outputs from Science China Information Sciences
#70
of 253 outputs
Outputs of similar age
#67,823
of 305,327 outputs
Outputs of similar age from Science China Information Sciences
#3
of 4 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 253 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. 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 305,327 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.