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An Unconditionally Stable MacCormack Method

Overview of attention for article published in Journal of Scientific Computing, November 2007
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About this Attention Score

  • Among the highest-scoring outputs from this source (#29 of 747)

Mentioned by

patent
1 patent

Citations

dimensions_citation
207 Dimensions

Readers on

mendeley
134 Mendeley
Title
An Unconditionally Stable MacCormack Method
Published in
Journal of Scientific Computing, November 2007
DOI 10.1007/s10915-007-9166-4
Authors

Andrew Selle, Ronald Fedkiw, ByungMoon Kim, Yingjie Liu, Jarek Rossignac

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
United Kingdom 3 2%
Uruguay 1 <1%
Brazil 1 <1%
India 1 <1%
Portugal 1 <1%
Canada 1 <1%
France 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 119 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 25%
Student > Ph. D. Student 31 23%
Researcher 26 19%
Professor 8 6%
Other 7 5%
Other 17 13%
Unknown 12 9%
Readers by discipline Count As %
Computer Science 54 40%
Engineering 41 31%
Physics and Astronomy 7 5%
Earth and Planetary Sciences 5 4%
Mathematics 4 3%
Other 7 5%
Unknown 16 12%
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 07 June 2012.
All research outputs
#7,557,593
of 23,053,169 outputs
Outputs from Journal of Scientific Computing
#29
of 747 outputs
Outputs of similar age
#26,375
of 78,299 outputs
Outputs of similar age from Journal of Scientific Computing
#1
of 2 outputs
Altmetric has tracked 23,053,169 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 747 research outputs from this source. They receive a mean Attention Score of 0.9. This one has done particularly well, scoring higher than 93% 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 78,299 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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