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A method for testing and validating executable statechart models

Overview of attention for article published in Software and Systems Modeling, May 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
3 X users

Citations

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14 Dimensions

Readers on

mendeley
38 Mendeley
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Title
A method for testing and validating executable statechart models
Published in
Software and Systems Modeling, May 2018
DOI 10.1007/s10270-018-0676-3
Authors

Tom Mens, Alexandre Decan, Nikolaos I. Spanoudakis

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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Student > Master 8 21%
Student > Bachelor 3 8%
Researcher 3 8%
Professor 2 5%
Other 4 11%
Unknown 9 24%
Readers by discipline Count As %
Computer Science 18 47%
Business, Management and Accounting 3 8%
Engineering 3 8%
Decision Sciences 1 3%
Economics, Econometrics and Finance 1 3%
Other 0 0%
Unknown 12 32%
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 04 June 2018.
All research outputs
#13,547,035
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#206
of 721 outputs
Outputs of similar age
#161,089
of 328,569 outputs
Outputs of similar age from Software and Systems Modeling
#5
of 12 outputs
Altmetric has tracked 23,849,058 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 721 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 67% 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 328,569 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 50% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.