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Survey and classification of model transformation tools

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

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
36 Mendeley
Title
Survey and classification of model transformation tools
Published in
Software & Systems Modeling, March 2018
DOI 10.1007/s10270-018-0665-6
Authors

Nafiseh Kahani, Mojtaba Bagherzadeh, James R. Cordy, Juergen Dingel, Daniel Varró

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 28%
Student > Master 6 17%
Student > Bachelor 5 14%
Unspecified 4 11%
Researcher 3 8%
Other 8 22%
Readers by discipline Count As %
Computer Science 25 69%
Unspecified 6 17%
Engineering 3 8%
Agricultural and Biological Sciences 1 3%
Linguistics 1 3%
Other 0 0%

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 30 May 2018.
All research outputs
#7,762,294
of 13,010,971 outputs
Outputs from Software & Systems Modeling
#151
of 398 outputs
Outputs of similar age
#147,221
of 269,445 outputs
Outputs of similar age from Software & Systems Modeling
#3
of 5 outputs
Altmetric has tracked 13,010,971 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 398 research outputs from this source. They receive a mean Attention Score of 1.7. This one has gotten more attention than average, scoring higher than 57% 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 269,445 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.