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Aliasing errors due to quadratic nonlinearities on triangular spectral /hp element discretisations

Overview of attention for article published in Journal of Engineering Mathematics, October 2006
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About this Attention Score

  • Among the highest-scoring outputs from this source (#23 of 119)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
27 Mendeley
Title
Aliasing errors due to quadratic nonlinearities on triangular spectral /hp element discretisations
Published in
Journal of Engineering Mathematics, October 2006
DOI 10.1007/s10665-006-9079-5
Authors

Robert M. Kirby, Spencer J. Sherwin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Israel 1 4%
United States 1 4%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 30%
Researcher 7 26%
Professor 4 15%
Student > Master 2 7%
Student > Doctoral Student 1 4%
Other 2 7%
Unknown 3 11%
Readers by discipline Count As %
Engineering 13 48%
Mathematics 2 7%
Physics and Astronomy 2 7%
Computer Science 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 7 26%
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 14 June 2016.
All research outputs
#7,484,899
of 22,877,793 outputs
Outputs from Journal of Engineering Mathematics
#23
of 119 outputs
Outputs of similar age
#23,457
of 67,581 outputs
Outputs of similar age from Journal of Engineering Mathematics
#1
of 1 outputs
Altmetric has tracked 22,877,793 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 119 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 51% 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 67,581 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them