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Globalizing Domain-Specific Languages

Overview of attention for book
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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10 X users

Citations

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6 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Globalizing Domain-Specific Languages
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-26172-0
ISBNs
978-3-31-926171-3, 978-3-31-926172-0
Editors

Benoit Combemale, Betty H.C. Cheng, Robert B. France, Jean-Marc Jézéquel, Bernhard Rumpe

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Researcher 1 14%
Student > Doctoral Student 1 14%
Student > Master 1 14%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 5 71%
Engineering 1 14%
Unknown 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 18 May 2016.
All research outputs
#4,047,229
of 24,404,997 outputs
Outputs from Lecture notes in computer science
#895
of 8,158 outputs
Outputs of similar age
#54,617
of 361,998 outputs
Outputs of similar age from Lecture notes in computer science
#59
of 259 outputs
Altmetric has tracked 24,404,997 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 88% 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 361,998 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 84% of its contemporaries.
We're also able to compare this research output to 259 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.