↓ Skip to main content

A simple algebraic cancer equation: calculating how cancers may arise with normal mutation rates

Overview of attention for article published in BMC Cancer, January 2010
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
2 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
81 Mendeley
citeulike
3 CiteULike
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.

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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
Spain 2 2%
United Kingdom 2 2%
France 1 1%
Germany 1 1%
Japan 1 1%
South Africa 1 1%
Unknown 69 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 25%
Student > Ph. D. Student 14 17%
Other 9 11%
Student > Master 9 11%
Student > Bachelor 8 10%
Other 21 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 52%
Medicine and Dentistry 10 12%
Unspecified 7 9%
Biochemistry, Genetics and Molecular Biology 7 9%
Mathematics 6 7%
Other 9 11%

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 18 May 2016.
All research outputs
#3,059,578
of 12,372,945 outputs
Outputs from BMC Cancer
#734
of 4,558 outputs
Outputs of similar age
#35,515
of 151,456 outputs
Outputs of similar age from BMC Cancer
#6
of 20 outputs
Altmetric has tracked 12,372,945 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,558 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 83% 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 151,456 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 76% of its contemporaries.
We're also able to compare this research output to 20 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 70% of its contemporaries.