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Corpus-based analysis of domain-specific languages

Overview of attention for article published in Software and Systems Modeling, June 2013
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Mentioned by

twitter
1 X user

Citations

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8 Dimensions

Readers on

mendeley
40 Mendeley
Title
Corpus-based analysis of domain-specific languages
Published in
Software and Systems Modeling, June 2013
DOI 10.1007/s10270-013-0352-6
Authors

Robert Tairas, Jordi Cabot

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 8%
Portugal 1 3%
Russia 1 3%
Germany 1 3%
Unknown 34 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Student > Ph. D. Student 7 18%
Professor 5 13%
Student > Master 5 13%
Student > Bachelor 4 10%
Other 10 25%
Unknown 1 3%
Readers by discipline Count As %
Computer Science 31 78%
Environmental Science 1 3%
Arts and Humanities 1 3%
Economics, Econometrics and Finance 1 3%
Engineering 1 3%
Other 0 0%
Unknown 5 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 May 2015.
All research outputs
#21,186,729
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#663
of 721 outputs
Outputs of similar age
#175,035
of 199,688 outputs
Outputs of similar age from Software and Systems Modeling
#14
of 17 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 is in the 1st percentile – i.e., 1% 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 199,688 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.