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Isogeometric analysis-based reduced order modelling for incompressible linear viscous flows in parametrized shapes

Overview of attention for article published in Advanced Modeling and Simulation in Engineering Sciences, July 2016
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

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11 Dimensions

Readers on

mendeley
24 Mendeley
Title
Isogeometric analysis-based reduced order modelling for incompressible linear viscous flows in parametrized shapes
Published in
Advanced Modeling and Simulation in Engineering Sciences, July 2016
DOI 10.1186/s40323-016-0076-6
Authors

Filippo Salmoiraghi, Francesco Ballarin, Luca Heltai, Gianluigi Rozza

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

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 33%
Researcher 4 17%
Student > Doctoral Student 3 13%
Other 2 8%
Student > Master 2 8%
Other 3 13%
Unknown 2 8%
Readers by discipline Count As %
Engineering 12 50%
Mathematics 5 21%
Computer Science 2 8%
Materials Science 1 4%
Unknown 4 17%

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 22 July 2016.
All research outputs
#4,279,562
of 8,091,619 outputs
Outputs from Advanced Modeling and Simulation in Engineering Sciences
#4
of 19 outputs
Outputs of similar age
#141,813
of 258,146 outputs
Outputs of similar age from Advanced Modeling and Simulation in Engineering Sciences
#2
of 3 outputs
Altmetric has tracked 8,091,619 research outputs across all sources so far. This one is in the 27th percentile – i.e., 27% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19 research outputs from this source. They receive a mean Attention Score of 0.7. This one scored the same or higher as 15 of them.
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 258,146 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.