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Globalizing Domain-Specific Languages

Overview of attention for book
Attention for Chapter 3: Motivating Use Cases for the Globalization of DSLs
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1 X user

Readers on

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9 Mendeley
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Chapter title
Motivating Use Cases for the Globalization of DSLs
Chapter number 3
Book title
Globalizing Domain-Specific Languages
Published in
Lecture notes in computer science, November 2015
DOI 10.1007/978-3-319-26172-0_3
Book ISBNs
978-3-31-926171-3, 978-3-31-926172-0
Authors

Betty H. C. Cheng, Thomas Degueule, Colin Atkinson, Siobhan Clarke, Ulrich Frank, Pieter J. Mosterman, Janos Sztipanovits

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

Geographical breakdown

Country Count As %
Germany 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Student > Postgraduate 2 22%
Unspecified 1 11%
Student > Bachelor 1 11%
Student > Master 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 7 78%
Unspecified 1 11%
Unknown 1 11%
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 09 November 2015.
All research outputs
#18,430,915
of 22,833,393 outputs
Outputs from Lecture notes in computer science
#6,013
of 8,127 outputs
Outputs of similar age
#204,634
of 284,455 outputs
Outputs of similar age from Lecture notes in computer science
#135
of 187 outputs
Altmetric has tracked 22,833,393 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 14th percentile – i.e., 14% 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 284,455 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 187 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.