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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 32% |
| Researcher | 10 | 29% |
| Student > Master | 5 | 15% |
| Professor > Associate Professor | 2 | 6% |
| Other | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 26% |
| Biochemistry, Genetics and Molecular Biology | 6 | 18% |
| Mathematics | 6 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Computer Science | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 4 | 12% |
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
#14,182,545
of 22,731,677 outputs
Outputs from Theoretical Biology and Medical Modelling
#155
of 287 outputs
Outputs of similar age
#173,227
of 302,168 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#2
of 5 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 43rd percentile – i.e., 43% 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 302,168 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
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 3 of them.