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Generating heterogeneous executable specifications in SystemC from UML/MARTE models

Overview of attention for article published in Innovations in Systems and Software Engineering, December 2009
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Mentioned by

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1 Facebook page

Citations

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9 Dimensions

Readers on

mendeley
15 Mendeley
citeulike
1 CiteULike
Title
Generating heterogeneous executable specifications in SystemC from UML/MARTE models
Published in
Innovations in Systems and Software Engineering, December 2009
DOI 10.1007/s11334-009-0105-4
Authors

P. Peñil, J. Medina, H. Posadas, E. Villar

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 5 33%
Student > Master 2 13%
Professor 2 13%
Student > Doctoral Student 1 7%
Student > Bachelor 1 7%
Other 3 20%
Unknown 1 7%
Readers by discipline Count As %
Computer Science 12 80%
Social Sciences 1 7%
Engineering 1 7%
Unknown 1 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 October 2012.
All research outputs
#20,167,959
of 22,679,690 outputs
Outputs from Innovations in Systems and Software Engineering
#32
of 33 outputs
Outputs of similar age
#156,862
of 163,828 outputs
Outputs of similar age from Innovations in Systems and Software Engineering
#2
of 2 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33 research outputs from this source. They receive a mean Attention Score of 2.5. This one scored the same or higher as 1 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 163,828 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.