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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 (#11 of 773)
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
9 X users
patent
1 patent

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
46 Mendeley
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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 9 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 22%
Student > Master 8 17%
Researcher 5 11%
Student > Postgraduate 2 4%
Student > Doctoral Student 1 2%
Other 4 9%
Unknown 16 35%
Readers by discipline Count As %
Computer Science 14 30%
Engineering 5 11%
Business, Management and Accounting 2 4%
Arts and Humanities 2 4%
Linguistics 1 2%
Other 3 7%
Unknown 19 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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
#3,303,185
of 25,838,141 outputs
Outputs from Software and Systems Modeling
#11
of 773 outputs
Outputs of similar age
#62,975
of 343,724 outputs
Outputs of similar age from Software and Systems Modeling
#1
of 9 outputs
Altmetric has tracked 25,838,141 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 773 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 343,724 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 81% 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 all of them