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A systematic approach to evaluating domain-specific modeling language environments for multi-agent systems

Overview of attention for article published in Software Quality Journal, September 2015
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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2 X users

Citations

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52 Dimensions

Readers on

mendeley
48 Mendeley
Title
A systematic approach to evaluating domain-specific modeling language environments for multi-agent systems
Published in
Software Quality Journal, September 2015
DOI 10.1007/s11219-015-9291-5
Authors

Moharram Challenger, Geylani Kardas, Bedir Tekinerdogan

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
South Africa 1 2%
Unknown 46 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 23%
Student > Master 8 17%
Researcher 6 13%
Professor > Associate Professor 4 8%
Professor 3 6%
Other 10 21%
Unknown 6 13%
Readers by discipline Count As %
Computer Science 32 67%
Engineering 3 6%
Agricultural and Biological Sciences 1 2%
Arts and Humanities 1 2%
Neuroscience 1 2%
Other 1 2%
Unknown 9 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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
#14,697,788
of 22,828,180 outputs
Outputs from Software Quality Journal
#84
of 143 outputs
Outputs of similar age
#145,505
of 267,231 outputs
Outputs of similar age from Software Quality Journal
#3
of 7 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 143 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 267,231 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.