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Association of candidate single nucleotide polymorphisms with somatic mutation of the epidermal growth factor receptor pathway

Overview of attention for article published in BMC Medical Genomics, October 2013
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1 tweeter

Citations

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6 Dimensions

Readers on

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25 Mendeley

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Title
Association of candidate single nucleotide polymorphisms with somatic mutation of the epidermal growth factor receptor pathway
Published in
BMC Medical Genomics, October 2013
DOI 10.1186/1755-8794-6-43
Pubmed ID
24152305
Authors

Samuel Wormald, Liz Milla, Liam O’Connor

Abstract

Tumour growth in colorectal cancer and other solid cancers is frequently supported by activating mutations in the epidermal growth factor receptor (EGFR) signaling pathway (Patholog Res Int 2011:932932, 2011). Treatment of metastatic colorectal cancer with targeted anti-EGFR therapeutics such as cetuximab extends survival in only 25% of patients who test wild-type for KRAS, while the majority of patients prove resistant (J Clin Oncol 28(7):1254-1261, 2010).Prediction of cetuximab responsiveness for KRAS wild-type colorectal cancers is currently not well defined, and prognostic biomarkers would help tailor treatment to individual patients. Somatic mutation of the EGFR signalling pathway is a prevalent mechanism of resistance to cetuximab (Nature 486(7404):532-536, 2012). If the human genome harbours variants that influence susceptibility of the EGFR pathway to oncogenic mutation, such variants could also be prognostic for cetuximab responsiveness.

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

Geographical breakdown

Country Count As %
Ecuador 2 8%
United States 1 4%
Unknown 22 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Researcher 5 20%
Other 5 20%
Unspecified 3 12%
Student > Postgraduate 3 12%
Other 3 12%
Readers by discipline Count As %
Medicine and Dentistry 7 28%
Biochemistry, Genetics and Molecular Biology 7 28%
Agricultural and Biological Sciences 6 24%
Unspecified 3 12%
Physics and Astronomy 1 4%
Other 1 4%

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 27 November 2013.
All research outputs
#10,599,010
of 13,313,681 outputs
Outputs from BMC Medical Genomics
#515
of 670 outputs
Outputs of similar age
#170,170
of 248,318 outputs
Outputs of similar age from BMC Medical Genomics
#18
of 30 outputs
Altmetric has tracked 13,313,681 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 670 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.

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