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Predicting transport by Lagrangian coherent structures with a high-order method

Overview of attention for article published in Theoretical and Computational Fluid Dynamics, September 2006
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About this Attention Score

  • Among the highest-scoring outputs from this source (#13 of 249)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
32 Mendeley
Title
Predicting transport by Lagrangian coherent structures with a high-order method
Published in
Theoretical and Computational Fluid Dynamics, September 2006
DOI 10.1007/s00162-006-0031-0
Authors

Hayder Salman, Jan S. Hesthaven, Tim Warburton, George Haller

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Germany 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 25%
Researcher 7 22%
Student > Doctoral Student 2 6%
Professor 2 6%
Other 2 6%
Other 5 16%
Unknown 6 19%
Readers by discipline Count As %
Engineering 12 38%
Physics and Astronomy 5 16%
Earth and Planetary Sciences 4 13%
Mathematics 2 6%
Computer Science 1 3%
Other 3 9%
Unknown 5 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 August 2013.
All research outputs
#7,846,128
of 23,794,258 outputs
Outputs from Theoretical and Computational Fluid Dynamics
#13
of 249 outputs
Outputs of similar age
#24,063
of 68,684 outputs
Outputs of similar age from Theoretical and Computational Fluid Dynamics
#2
of 5 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 249 research outputs from this source. They receive a mean Attention Score of 1.2. This one has done well, scoring higher than 89% of its peers.
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 68,684 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 5 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.