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Generating Domain-Specific Visual Language Tools from Abstract Visual Specifications

Overview of attention for article published in IEEE Transactions on Software Engineering, March 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

patent
19 patents

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
69 Mendeley
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Title
Generating Domain-Specific Visual Language Tools from Abstract Visual Specifications
Published in
IEEE Transactions on Software Engineering, March 2013
DOI 10.1109/tse.2012.33
Authors

J. C. Grundy, J. Hosking, K. N. Li, N. M. Ali, Jun Huh, R. L. Li

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 2 3%
Spain 2 3%
Germany 1 1%
Norway 1 1%
Brazil 1 1%
Portugal 1 1%
United Kingdom 1 1%
Israel 1 1%
Unknown 59 86%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 23%
Student > Ph. D. Student 14 20%
Researcher 12 17%
Student > Doctoral Student 5 7%
Professor 3 4%
Other 11 16%
Unknown 8 12%
Readers by discipline Count As %
Computer Science 54 78%
Business, Management and Accounting 1 1%
Mathematics 1 1%
Linguistics 1 1%
Engineering 1 1%
Other 0 0%
Unknown 11 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 November 2023.
All research outputs
#5,448,088
of 25,377,790 outputs
Outputs from IEEE Transactions on Software Engineering
#1,036
of 6,368 outputs
Outputs of similar age
#44,353
of 210,388 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#7
of 61 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,368 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 72% 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 210,388 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 76% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.