↓ Skip to main content

Simulating tissue mechanics with agent-based models: concepts, perspectives and some novel results

Overview of attention for article published in Computational Particle Mechanics, November 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 300)
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
7 X users
wikipedia
1 Wikipedia page
f1000
1 research highlight platform

Citations

dimensions_citation
213 Dimensions

Readers on

mendeley
274 Mendeley
citeulike
2 CiteULike
Title
Simulating tissue mechanics with agent-based models: concepts, perspectives and some novel results
Published in
Computational Particle Mechanics, November 2015
DOI 10.1007/s40571-015-0082-3
Authors

P. Van Liedekerke, M. M. Palm, N. Jagiella, D. Drasdo

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 274 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 <1%
France 2 <1%
Switzerland 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 267 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 71 26%
Researcher 43 16%
Student > Master 28 10%
Student > Bachelor 18 7%
Student > Doctoral Student 18 7%
Other 29 11%
Unknown 67 24%
Readers by discipline Count As %
Engineering 44 16%
Mathematics 34 12%
Physics and Astronomy 31 11%
Biochemistry, Genetics and Molecular Biology 27 10%
Agricultural and Biological Sciences 22 8%
Other 38 14%
Unknown 78 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 October 2023.
All research outputs
#4,031,240
of 24,704,144 outputs
Outputs from Computational Particle Mechanics
#5
of 300 outputs
Outputs of similar age
#63,304
of 397,878 outputs
Outputs of similar age from Computational Particle Mechanics
#1
of 18 outputs
Altmetric has tracked 24,704,144 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 300 research outputs from this source. They receive a mean Attention Score of 1.2. This one has done particularly well, scoring higher than 98% 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 397,878 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.