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Transactional execution of hierarchical reconfigurations in cyber-physical systems

Overview of attention for article published in Software & Systems Modeling, February 2017
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
9 Mendeley
Title
Transactional execution of hierarchical reconfigurations in cyber-physical systems
Published in
Software & Systems Modeling, February 2017
DOI 10.1007/s10270-017-0583-z
Authors

Christian Heinzemann, Steffen Becker, Andreas Volk

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

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 %
France 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Researcher 2 22%
Student > Doctoral Student 1 11%
Student > Master 1 11%
Student > Bachelor 1 11%
Other 1 11%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 6 67%
Engineering 2 22%
Unknown 1 11%

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 16 March 2017.
All research outputs
#7,017,587
of 9,207,038 outputs
Outputs from Software & Systems Modeling
#169
of 309 outputs
Outputs of similar age
#186,156
of 255,085 outputs
Outputs of similar age from Software & Systems Modeling
#2
of 15 outputs
Altmetric has tracked 9,207,038 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 309 research outputs from this source. They receive a mean Attention Score of 1.6. This one is in the 10th percentile – i.e., 10% 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 255,085 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 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.