↓ Skip to main content

An executable formal semantics for UML-RT

Overview of attention for article published in Software and Systems Modeling, February 2014
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
20 Mendeley
Title
An executable formal semantics for UML-RT
Published in
Software and Systems Modeling, February 2014
DOI 10.1007/s10270-014-0399-z
Authors

Ernesto Posse, Juergen Dingel

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 5%
Canada 1 5%
Unknown 18 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 25%
Student > Master 5 25%
Student > Postgraduate 3 15%
Professor 2 10%
Student > Bachelor 2 10%
Other 2 10%
Unknown 1 5%
Readers by discipline Count As %
Computer Science 18 90%
Engineering 1 5%
Unknown 1 5%
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 11 February 2016.
All research outputs
#16,069,695
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#343
of 721 outputs
Outputs of similar age
#136,745
of 226,375 outputs
Outputs of similar age from Software and Systems Modeling
#4
of 6 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 721 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 39th percentile – i.e., 39% 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 226,375 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.