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Deforming-Spatial-Domain/Stabilized Space–Time (DSD/SST) method in computation of non-Newtonian fluid flow and heat transfer with moving boundaries

Overview of attention for article published in Computational Mechanics, August 2013
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Citations

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8 Mendeley
Title
Deforming-Spatial-Domain/Stabilized Space–Time (DSD/SST) method in computation of non-Newtonian fluid flow and heat transfer with moving boundaries
Published in
Computational Mechanics, August 2013
DOI 10.1007/s00466-013-0905-0
Authors

Fang-Bao Tian, Ram P. Bharti, Yuan-Qing Xu

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 63%
Professor 1 13%
Student > Doctoral Student 1 13%
Unknown 1 13%
Readers by discipline Count As %
Engineering 2 25%
Psychology 1 13%
Chemical Engineering 1 13%
Energy 1 13%
Physics and Astronomy 1 13%
Other 0 0%
Unknown 2 25%
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 16 April 2014.
All research outputs
#15,299,491
of 22,753,345 outputs
Outputs from Computational Mechanics
#160
of 254 outputs
Outputs of similar age
#122,048
of 197,597 outputs
Outputs of similar age from Computational Mechanics
#3
of 6 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 254 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 27th percentile – i.e., 27% 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 197,597 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.