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A systematic approach to constructing families of incremental topology control algorithms using graph transformation

Overview of attention for article published in Software and Systems Modeling, March 2017
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About this Attention Score

  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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2 X users

Citations

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11 Dimensions

Readers on

mendeley
12 Mendeley
Title
A systematic approach to constructing families of incremental topology control algorithms using graph transformation
Published in
Software and Systems Modeling, March 2017
DOI 10.1007/s10270-017-0587-8
Authors

Roland Kluge, Michael Stein, Gergely Varró, Andy Schürr, Matthias Hollick, Max Mühlhäuser

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Student > Master 2 17%
Student > Doctoral Student 2 17%
Student > Bachelor 1 8%
Unknown 5 42%
Readers by discipline Count As %
Computer Science 7 58%
Unknown 5 42%
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 2018.
All research outputs
#18,833,474
of 24,002,307 outputs
Outputs from Software and Systems Modeling
#433
of 726 outputs
Outputs of similar age
#226,372
of 311,116 outputs
Outputs of similar age from Software and Systems Modeling
#3
of 16 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 726 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 38th percentile – i.e., 38% 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 311,116 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.