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Software Composition

Overview of attention for book
Attention for Chapter 11: Domain-Specific Languages in Few Steps
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1 X user

Readers on

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3 Mendeley
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Chapter title
Domain-Specific Languages in Few Steps
Chapter number 11
Book title
Software Composition
Published in
Lecture notes in computer science, May 2012
DOI 10.1007/978-3-642-30564-1_11
Book ISBNs
978-3-64-230563-4, 978-3-64-230564-1
Authors

Walter Cazzola, Thomas Gschwind, Flavio De Paoli, Volker Gruhn, Matthias Book

Timeline

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Professor > Associate Professor 1 33%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Unknown 1 33%
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 25 October 2014.
All research outputs
#18,382,900
of 22,769,322 outputs
Outputs from Lecture notes in computer science
#6,006
of 8,125 outputs
Outputs of similar age
#127,083
of 165,317 outputs
Outputs of similar age from Lecture notes in computer science
#45
of 60 outputs
Altmetric has tracked 22,769,322 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 8,125 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 165,317 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.