Title |
A simple algebraic cancer equation: calculating how cancers may arise with normal mutation rates
|
---|---|
Published in |
BMC Cancer, January 2010
|
DOI | 10.1186/1471-2407-10-3 |
Pubmed ID | |
Authors |
Peter Calabrese, Darryl Shibata |
Abstract |
The purpose of this article is to present a relatively easy to understand cancer model where transformation occurs when the first cell, among many at risk within a colon, accumulates a set of driver mutations. The analysis of this model yields a simple algebraic equation, which takes as inputs the number of stem cells, mutation and division rates, and the number of driver mutations, and makes predictions about cancer epidemiology. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 3% |
United Kingdom | 2 | 2% |
Germany | 1 | <1% |
France | 1 | <1% |
South Africa | 1 | <1% |
Japan | 1 | <1% |
Spain | 1 | <1% |
Unknown | 104 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 21 | 18% |
Student > Ph. D. Student | 16 | 14% |
Student > Bachelor | 14 | 12% |
Student > Master | 11 | 10% |
Other | 10 | 9% |
Other | 18 | 16% |
Unknown | 25 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 43 | 37% |
Biochemistry, Genetics and Molecular Biology | 11 | 10% |
Medicine and Dentistry | 11 | 10% |
Mathematics | 7 | 6% |
Computer Science | 3 | 3% |
Other | 11 | 10% |
Unknown | 29 | 25% |
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 07 January 2023.
All research outputs
#6,119,844
of 23,577,761 outputs
Outputs from BMC Cancer
#1,513
of 8,532 outputs
Outputs of similar age
#39,471
of 167,366 outputs
Outputs of similar age from BMC Cancer
#14
of 29 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 8,532 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 82% 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 167,366 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 75% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.