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A New Ghost Cell/Level Set Method for Moving Boundary Problems: Application to Tumor Growth

Overview of attention for article published in Journal of Scientific Computing, February 2008
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About this Attention Score

  • Among the highest-scoring outputs from this source (#26 of 734)
  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
68 Dimensions

Readers on

mendeley
62 Mendeley
Title
A New Ghost Cell/Level Set Method for Moving Boundary Problems: Application to Tumor Growth
Published in
Journal of Scientific Computing, February 2008
DOI 10.1007/s10915-008-9190-z
Pubmed ID
Authors

Paul Macklin, John S. Lowengrub

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
France 1 2%
Switzerland 1 2%
Canada 1 2%
Slovakia 1 2%
Unknown 56 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 29%
Researcher 14 23%
Professor > Associate Professor 7 11%
Student > Master 4 6%
Student > Doctoral Student 3 5%
Other 9 15%
Unknown 7 11%
Readers by discipline Count As %
Engineering 17 27%
Mathematics 14 23%
Physics and Astronomy 7 11%
Computer Science 4 6%
Social Sciences 2 3%
Other 11 18%
Unknown 7 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 January 2018.
All research outputs
#7,013,772
of 22,961,203 outputs
Outputs from Journal of Scientific Computing
#26
of 734 outputs
Outputs of similar age
#41,227
of 158,809 outputs
Outputs of similar age from Journal of Scientific Computing
#1
of 1 outputs
Altmetric has tracked 22,961,203 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 734 research outputs from this source. They receive a mean Attention Score of 0.9. This one has done particularly well, scoring higher than 96% 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 158,809 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
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