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Quantifying discretization errors for soft tissue simulation in computer assisted surgery: A preliminary study

Overview of attention for article published in Applied Mathematical Modelling, January 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
3 X users
patent
1 patent

Readers on

mendeley
38 Mendeley
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Article details
Title
Quantifying discretization errors for soft tissue simulation in computer assisted surgery: A preliminary study
Published in
Applied Mathematical Modelling, January 2020
DOI 10.1016/j.apm.2019.07.055
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 profiles of 3 X users 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 38 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 38 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 6 16%
Researcher 5 13%
Student > Master 4 11%
Professor > Associate Professor 4 11%
Student > Doctoral Student 3 8%
Other 4 11%
Unknown 12 32%
Readers by discipline
Readers by discipline Count As %
Engineering 13 34%
Medicine and Dentistry 3 8%
Mathematics 2 5%
Computer Science 2 5%
Neuroscience 1 3%
Other 1 3%
Unknown 16 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 April 2022.
All research outputs
#7,780,192
of 27,789,359 outputs
Outputs from Applied Mathematical Modelling
#74
of 704 outputs
Outputs of similar age
#145,692
of 485,890 outputs
Outputs of similar age from Applied Mathematical Modelling
#2
of 14 outputs
Altmetric has tracked 27,789,359 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 704 research outputs from this source. They receive a mean Attention Score of 2.7. 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 485,890 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 69% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.