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Lessons learned from developing mbeddr: a case study in language engineering with MPS

Overview of attention for article published in Software and Systems Modeling, January 2017
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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 (#15 of 721)
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
14 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
55 Mendeley
Title
Lessons learned from developing mbeddr: a case study in language engineering with MPS
Published in
Software and Systems Modeling, January 2017
DOI 10.1007/s10270-016-0575-4
Authors

Markus Voelter, Bernd Kolb, Tamás Szabó, Daniel Ratiu, Arie van Deursen

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Student > Master 10 18%
Student > Bachelor 6 11%
Researcher 5 9%
Student > Doctoral Student 4 7%
Other 5 9%
Unknown 14 25%
Readers by discipline Count As %
Computer Science 36 65%
Engineering 2 4%
Environmental Science 1 2%
Medicine and Dentistry 1 2%
Arts and Humanities 1 2%
Other 0 0%
Unknown 14 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 28 September 2017.
All research outputs
#3,218,523
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#15
of 721 outputs
Outputs of similar age
#65,386
of 425,586 outputs
Outputs of similar age from Software and Systems Modeling
#1
of 16 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 721 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done particularly well, scoring higher than 96% 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 425,586 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 84% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.