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A consensus prognostic gene expression classifier for ER positive breast cancer

Overview of attention for article published in Genome Biology, October 2006
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Mentioned by

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1 patent

Citations

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78 Dimensions

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79 Mendeley
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2 CiteULike
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2 Connotea
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Title
A consensus prognostic gene expression classifier for ER positive breast cancer
Published in
Genome Biology, October 2006
DOI 10.1186/gb-2006-7-10-r101
Pubmed ID
Authors

Andrew E Teschendorff, Ali Naderi, Nuno L Barbosa-Morais, Sarah E Pinder, Ian O Ellis, Sam Aparicio, James D Brenton, Carlos Caldas

Abstract

A consensus prognostic gene expression classifier is still elusive in heterogeneous diseases such as breast cancer. Here we perform a combined analysis of three major breast cancer microarray data sets to hone in on a universally valid prognostic molecular classifier in estrogen receptor (ER) positive tumors. Using a recently developed robust measure of prognostic separation, we further validate the prognostic classifier in three external independent cohorts, confirming the validity of our molecular classifier in a total of 877 ER positive samples. Furthermore, we find that molecular classifiers may not outperform classical prognostic indices but that they can be used in hybrid molecular-pathological classification schemes to improve prognostic separation. The prognostic molecular classifier presented here is the first to be valid in over 877 ER positive breast cancer samples and across three different microarray platforms. Larger multi-institutional studies will be needed to fully determine the added prognostic value of molecular classifiers when combined with standard prognostic factors.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
United Kingdom 2 3%
United States 2 3%
Korea, Republic of 1 1%
Canada 1 1%
Brazil 1 1%
Spain 1 1%
Iran, Islamic Republic of 1 1%
Unknown 68 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 20%
Student > Ph. D. Student 14 18%
Professor > Associate Professor 12 15%
Professor 6 8%
Other 6 8%
Other 17 22%
Unknown 8 10%
Readers by discipline Count As %
Medicine and Dentistry 23 29%
Agricultural and Biological Sciences 16 20%
Biochemistry, Genetics and Molecular Biology 12 15%
Computer Science 10 13%
Mathematics 2 3%
Other 8 10%
Unknown 8 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 October 2014.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Genome Biology
#3,489
of 4,467 outputs
Outputs of similar age
#30,728
of 88,706 outputs
Outputs of similar age from Genome Biology
#12
of 22 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 14th percentile – i.e., 14% 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 88,706 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.