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Prognostic signatures in breast cancer: correlation does not imply causation

Overview of attention for article published in Breast Cancer Research, June 2012
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2 X users

Citations

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Title
Prognostic signatures in breast cancer: correlation does not imply causation
Published in
Breast Cancer Research, June 2012
DOI 10.1186/bcr3173
Pubmed ID
Authors

Charlotte Ng, Britta Weigelt, Anita Grigoriadis, Jorge S Reis-Filho

Abstract

Testing the statistical associations between microarray-based gene expression signatures and patient outcome has become a popular approach to infer biological and clinical significance of laboratory observations. Venet and colleagues recently demonstrated that the majority of randomly generated gene signatures are significantly associated with outcome of breast cancer patients, and that this association stems from the fact that a large proportion of the transcriptome is significantly correlated with proliferation, a strong predictor of outcome in breast cancer patients. These findings demonstrate that a statistical association between a gene signature and disease outcome does not necessarily imply biological significance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Ukraine 1 3%
Nigeria 1 3%
Unknown 26 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 28%
Researcher 6 21%
Student > Postgraduate 4 14%
Professor > Associate Professor 3 10%
Student > Bachelor 2 7%
Other 5 17%
Unknown 1 3%
Readers by discipline Count As %
Medicine and Dentistry 9 31%
Agricultural and Biological Sciences 8 28%
Biochemistry, Genetics and Molecular Biology 4 14%
Computer Science 2 7%
Nursing and Health Professions 1 3%
Other 3 10%
Unknown 2 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 June 2012.
All research outputs
#16,047,334
of 25,374,647 outputs
Outputs from Breast Cancer Research
#1,430
of 2,052 outputs
Outputs of similar age
#108,133
of 177,903 outputs
Outputs of similar age from Breast Cancer Research
#28
of 42 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,052 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one is in the 28th percentile – i.e., 28% 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 177,903 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.