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Robust adaptive computation of a one-dimensional Q-tensor model of nematic liquid crystals

Overview of attention for article published in Computers & Mathematics with Applications, December 2012
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1 X user

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6 Mendeley
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Article details
Title
Robust adaptive computation of a one-dimensional Q-tensor model of nematic liquid crystals
Published in
Computers & Mathematics with Applications, December 2012
DOI 10.1016/j.camwa.2012.10.003
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 3 50%
Professor > Associate Professor 1 17%
Unknown 2 33%
Readers by discipline
Readers by discipline Count As %
Mathematics 3 50%
Physics and Astronomy 1 17%
Unknown 2 33%
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 29 October 2012.
All research outputs
#19,157,392
of 27,781,301 outputs
Outputs from Computers & Mathematics with Applications
#444
of 804 outputs
Outputs of similar age
#205,414
of 296,182 outputs
Outputs of similar age from Computers & Mathematics with Applications
#8
of 11 outputs
Altmetric has tracked 27,781,301 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 804 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 33rd percentile – i.e., 33% 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 296,182 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.