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Using language workbenches and domain-specific languages for safety-critical software development

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

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 746)
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
10 X users
patent
1 patent

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
45 Mendeley
Title
Using language workbenches and domain-specific languages for safety-critical software development
Published in
Software and Systems Modeling, May 2018
DOI 10.1007/s10270-018-0679-0
Authors

Markus Voelter, Bernd Kolb, Klaus Birken, Federico Tomassetti, Patrick Alff, Laurent Wiart, Andreas Wortmann, Arne Nordmann

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 22%
Student > Master 8 18%
Researcher 5 11%
Student > Postgraduate 2 4%
Student > Doctoral Student 1 2%
Other 4 9%
Unknown 15 33%
Readers by discipline Count As %
Computer Science 14 31%
Engineering 5 11%
Business, Management and Accounting 2 4%
Arts and Humanities 2 4%
Linguistics 1 2%
Other 3 7%
Unknown 18 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 20 April 2023.
All research outputs
#3,014,371
of 25,010,497 outputs
Outputs from Software and Systems Modeling
#12
of 746 outputs
Outputs of similar age
#58,809
of 334,600 outputs
Outputs of similar age from Software and Systems Modeling
#2
of 9 outputs
Altmetric has tracked 25,010,497 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 746 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done particularly well, scoring higher than 98% 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 334,600 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 82% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.