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Meta-analysis of human cancer microarrays reveals GATA3 is integral to the estrogen receptor alpha pathway

Overview of attention for article published in Molecular Cancer, June 2008
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Title
Meta-analysis of human cancer microarrays reveals GATA3 is integral to the estrogen receptor alpha pathway
Published in
Molecular Cancer, June 2008
DOI 10.1186/1476-4598-7-49
Pubmed ID
Authors

Brian J Wilson, Vincent Giguère

Abstract

The transcription factor GATA3 has recently been shown to be necessary for mammary gland morphogenesis and luminal cell differentiation. There is also an increasing body of data linking GATA3 to the estrogen receptor alpha (ERalpha) pathway. Among these it was shown that GATA3 associates with the promoter of the ERalpha gene and ERalpha can reciprocally associate with the GATA3 gene. GATA3 has also been directly implicated in a differentiated phenotype in mouse models of mammary tumourigenesis. The purpose of our study was to compare coexpressed genes, by meta-analysis, of GATA3 and relate these to a similar analysis for ERalpha to determine the depth of overlap.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
France 1 2%
Italy 1 2%
Brazil 1 2%
Taiwan 1 2%
Spain 1 2%
Unknown 58 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 20%
Researcher 11 17%
Student > Bachelor 7 11%
Professor > Associate Professor 7 11%
Student > Master 7 11%
Other 10 16%
Unknown 9 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 41%
Biochemistry, Genetics and Molecular Biology 10 16%
Medicine and Dentistry 10 16%
Computer Science 6 9%
Social Sciences 2 3%
Other 2 3%
Unknown 8 13%
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 17 May 2015.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Molecular Cancer
#692
of 1,919 outputs
Outputs of similar age
#33,966
of 97,490 outputs
Outputs of similar age from Molecular Cancer
#4
of 7 outputs
Altmetric has tracked 25,374,647 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 1,919 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 52% of its peers.
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 97,490 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.