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Overrepresentation of transcription factor families in the genesets underlying breast cancer subtypes

Overview of attention for article published in BMC Genomics, May 2012
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1 X user
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1 Facebook page

Citations

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15 Dimensions

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41 Mendeley
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1 CiteULike
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Title
Overrepresentation of transcription factor families in the genesets underlying breast cancer subtypes
Published in
BMC Genomics, May 2012
DOI 10.1186/1471-2164-13-199
Pubmed ID
Authors

Himanshu Joshi, Silje H Nord, Arnoldo Frigessi, Anne-Lise Børresen-Dale, Vessela N Kristensen

Abstract

The human genome contains a large amount of cis-regulatory DNA elements responsible for directing both spatial and temporal gene-expression patterns. Previous studies have shown that based on their mRNA expression breast tumors could be divided into five subgroups (Luminal A, Luminal B, Basal, ErbB2(+) and Normal-like), each with a distinct molecular portrait. Whole genome gene expression analysis of independent sets of breast tumors reveals repeatedly the robustness of this classification. Furthermore, breast tumors carrying a TP53 mutation show a distinct gene expression profile, which is in strong association to the distinct molecular portraits. The mRNA expression of 552 genes, which varied considerably among the different tumors, but little between two samples of the same tumor, has been shown to be sufficient to separate these tumor subgroups.

X Demographics

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

Geographical breakdown

Country Count As %
United Kingdom 2 5%
United States 2 5%
Denmark 1 2%
Norway 1 2%
Unknown 35 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 27%
Student > Ph. D. Student 11 27%
Other 3 7%
Professor > Associate Professor 3 7%
Student > Bachelor 2 5%
Other 3 7%
Unknown 8 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 39%
Biochemistry, Genetics and Molecular Biology 5 12%
Computer Science 3 7%
Medicine and Dentistry 3 7%
Mathematics 2 5%
Other 3 7%
Unknown 9 22%
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 30 June 2012.
All research outputs
#14,726,101
of 22,665,794 outputs
Outputs from BMC Genomics
#6,109
of 10,615 outputs
Outputs of similar age
#101,137
of 164,244 outputs
Outputs of similar age from BMC Genomics
#43
of 91 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,615 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 164,244 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 91 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.