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A framework for qualitative assessment of domain-specific languages

Overview of attention for article published in Software and Systems Modeling, November 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
79 Mendeley
Title
A framework for qualitative assessment of domain-specific languages
Published in
Software and Systems Modeling, November 2013
DOI 10.1007/s10270-013-0387-8
Authors

Gökhan Kahraman, Semih Bilgen

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

Geographical breakdown

Country Count As %
Portugal 2 3%
France 2 3%
Spain 2 3%
Russia 1 1%
Germany 1 1%
Unknown 71 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 23%
Student > Master 13 16%
Researcher 6 8%
Student > Postgraduate 6 8%
Student > Bachelor 5 6%
Other 18 23%
Unknown 13 16%
Readers by discipline Count As %
Computer Science 54 68%
Engineering 5 6%
Business, Management and Accounting 2 3%
Arts and Humanities 1 1%
Unspecified 1 1%
Other 2 3%
Unknown 14 18%
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 17 September 2015.
All research outputs
#14,006,272
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#256
of 721 outputs
Outputs of similar age
#167,979
of 307,533 outputs
Outputs of similar age from Software and Systems Modeling
#2
of 11 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% 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 63% 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 307,533 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 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 72% of its contemporaries.