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A new model of time scheme for progression of colorectal cancer

Overview of attention for article published in BMC Systems Biology, October 2014
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Title
A new model of time scheme for progression of colorectal cancer
Published in
BMC Systems Biology, October 2014
DOI 10.1186/1752-0509-8-s3-s2
Pubmed ID
Authors

Shuhao Sun, Fima Klebaner, Tianhai Tian

Abstract

tumourigenesis can be regarded as an evolutionary process, in which the transformation of a normal cell into a tumour cell involves a number of limiting genetic and epigenetic events. To study the progression process, time schemes have been proposed for studying the process of colorectal cancer based on extensive clinical investigations. Moreover, a number of mathematical models have been designed to describe this evolutionary process. These models assumed that the mutation rate of genes is constant during different stages. However, it has been pointed that the subsequent driver mutations appear faster than the previous ones and the cumulative time to have more driver mutations grows with the growing number of gene mutations. Thus it is still a challenge to calculate the time when the first mutation occurs and to determine the influence of tumour size on the mutation rate.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 19%
Researcher 4 19%
Student > Ph. D. Student 2 10%
Professor 2 10%
Student > Master 2 10%
Other 1 5%
Unknown 6 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 24%
Agricultural and Biological Sciences 5 24%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Linguistics 1 5%
Computer Science 1 5%
Other 3 14%
Unknown 5 24%
Attention Score in Context

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 29 October 2014.
All research outputs
#20,241,019
of 22,768,097 outputs
Outputs from BMC Systems Biology
#1,009
of 1,142 outputs
Outputs of similar age
#217,074
of 260,342 outputs
Outputs of similar age from BMC Systems Biology
#30
of 31 outputs
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So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.