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A survey of approaches for verifying model transformations

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

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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3 X users

Citations

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62 Dimensions

Readers on

mendeley
82 Mendeley
Title
A survey of approaches for verifying model transformations
Published in
Software and Systems Modeling, June 2013
DOI 10.1007/s10270-013-0358-0
Authors

Lukman Ab. Rahim, Jon Whittle

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

Geographical breakdown

Country Count As %
Hungary 2 2%
Germany 1 1%
France 1 1%
Brazil 1 1%
Spain 1 1%
Unknown 76 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 32%
Student > Master 15 18%
Researcher 10 12%
Professor > Associate Professor 4 5%
Lecturer 4 5%
Other 12 15%
Unknown 11 13%
Readers by discipline Count As %
Computer Science 66 80%
Engineering 3 4%
Unknown 13 16%
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 27 May 2016.
All research outputs
#14,843,569
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#276
of 721 outputs
Outputs of similar age
#113,055
of 199,069 outputs
Outputs of similar age from Software and Systems Modeling
#6
of 18 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% 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 56% 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 199,069 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 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 61% of its contemporaries.