↓ Skip to main content

Preliminary evidence of different selection pressures on cancer cells as compared to normal tissues

Overview of attention for article published in Theoretical Biology and Medical Modelling, November 2012
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
35 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Preliminary evidence of different selection pressures on cancer cells as compared to normal tissues
Published in
Theoretical Biology and Medical Modelling, November 2012
DOI 10.1186/1742-4682-9-44
Pubmed ID
Authors

Katie Ovens, Christopher Naugler

Abstract

Cancer is characterized by both a high mutation rate as well as high rates of cell division and cell death. We postulate that these conditions will result in the eventual mutational inactivation of genes not essential to the survival of the cancer cell, while mutations in essential genes will be eliminated by natural selection leaving molecular signatures of selection in genes required for survival and reproduction. By looking for signatures of natural selection in the genomes of cancer cells, it should therefore be possible to determine which genes have been essential for the development of a particular cancer.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Poland 1 3%
Australia 1 3%
Brazil 1 3%
Unknown 31 89%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 20%
Researcher 7 20%
Student > Ph. D. Student 4 11%
Student > Postgraduate 4 11%
Student > Master 3 9%
Other 3 9%
Unknown 7 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 31%
Biochemistry, Genetics and Molecular Biology 7 20%
Medicine and Dentistry 4 11%
Arts and Humanities 1 3%
Philosophy 1 3%
Other 3 9%
Unknown 8 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 November 2012.
All research outputs
#9,958,565
of 12,440,173 outputs
Outputs from Theoretical Biology and Medical Modelling
#155
of 225 outputs
Outputs of similar age
#182,693
of 259,879 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#18
of 25 outputs
Altmetric has tracked 12,440,173 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 225 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 20th percentile – i.e., 20% 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 259,879 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.