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A level set approach for the computational study of a yield stress fluid filling a thin mold

Overview of attention for article published in Journal of Non-Newtonian Fluid Mechanics, February 2023
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Mentioned by

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2 X users

Citations

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1 Dimensions

Readers on

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2 Mendeley
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Title
A level set approach for the computational study of a yield stress fluid filling a thin mold
Published in
Journal of Non-Newtonian Fluid Mechanics, February 2023
DOI 10.1016/j.jnnfm.2022.104987
Authors

Bikash Dey, Weston Ortiz, Helen Cleaves, Anthony McMaster, Josh McConnell, Kristianto Tjiptowidjojo, Anne M. Grillet, Robert B. Secor, Pania Newell, Rekha R. Rao

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Chemical Engineering 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 January 2023.
All research outputs
#16,061,963
of 25,394,764 outputs
Outputs from Journal of Non-Newtonian Fluid Mechanics
#276
of 483 outputs
Outputs of similar age
#231,204
of 471,974 outputs
Outputs of similar age from Journal of Non-Newtonian Fluid Mechanics
#4
of 7 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 483 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 42nd percentile – i.e., 42% 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 471,974 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 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.