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RoboChart: modelling and verification of the functional behaviour of robotic applications

Overview of attention for article published in Software & Systems Modeling, January 2019
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Mentioned by

twitter
1 tweeter

Citations

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4 Dimensions

Readers on

mendeley
10 Mendeley
Title
RoboChart: modelling and verification of the functional behaviour of robotic applications
Published in
Software & Systems Modeling, January 2019
DOI 10.1007/s10270-018-00710-z
Authors

Alvaro Miyazawa, Pedro Ribeiro, Wei Li, Ana Cavalcanti, Jon Timmis, Jim Woodcock

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 60%
Researcher 2 20%
Unspecified 2 20%
Readers by discipline Count As %
Computer Science 4 40%
Unspecified 3 30%
Engineering 3 30%

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 01 February 2019.
All research outputs
#10,596,152
of 13,309,886 outputs
Outputs from Software & Systems Modeling
#223
of 407 outputs
Outputs of similar age
#207,965
of 283,634 outputs
Outputs of similar age from Software & Systems Modeling
#11
of 29 outputs
Altmetric has tracked 13,309,886 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 407 research outputs from this source. They receive a mean Attention Score of 1.7. This one is in the 7th percentile – i.e., 7% 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 283,634 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 29 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.