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A calibrated agent-based computer model of stochastic cell dynamics in normal human colon crypts useful for in silico experiments

Overview of attention for article published in Theoretical Biology and Medical Modelling, November 2013
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
32 Mendeley
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Title
A calibrated agent-based computer model of stochastic cell dynamics in normal human colon crypts useful for in silico experiments
Published in
Theoretical Biology and Medical Modelling, November 2013
DOI 10.1186/1742-4682-10-66
Pubmed ID
Authors

Rafael Bravo, David E Axelrod

Abstract

Normal colon crypts consist of stem cells, proliferating cells, and differentiated cells. Abnormal rates of proliferation and differentiation can initiate colon cancer. We have measured the variation in the number of each of these cell types in multiple crypts in normal human biopsy specimens. This has provided the opportunity to produce a calibrated computational model that simulates cell dynamics in normal human crypts, and by changing model parameter values, to simulate the initiation and treatment of colon cancer.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 28%
Researcher 9 28%
Student > Master 5 16%
Other 2 6%
Librarian 1 3%
Other 3 9%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 28%
Biochemistry, Genetics and Molecular Biology 5 16%
Mathematics 5 16%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Engineering 2 6%
Other 5 16%
Unknown 4 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 September 2014.
All research outputs
#2,494,153
of 5,036,908 outputs
Outputs from Theoretical Biology and Medical Modelling
#77
of 169 outputs
Outputs of similar age
#54,756
of 124,433 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#1
of 5 outputs
Altmetric has tracked 5,036,908 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 169 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 124,433 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 52% of its contemporaries.
We're also able to compare this research output to 5 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