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Gene expression and hypoxia in breast cancer

Overview of attention for article published in Genome Medicine, January 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

1 tweeter
1 patent


73 Dimensions

Readers on

166 Mendeley
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Gene expression and hypoxia in breast cancer
Published in
Genome Medicine, January 2011
DOI 10.1186/gm271
Pubmed ID

Elena Favaro, Simon Lord, Adrian L Harris, Francesca M Buffa


Hypoxia is a feature of most solid tumors and is associated with poor prognosis in several cancer types, including breast cancer. The master regulator of the hypoxic response is the Hypoxia-inducible factor 1α (HIF-1α). It is becoming clear that HIF-1α expression alone is not a reliable marker of tumor response to hypoxia, and recent studies have focused on determining gene and microRNA (miRNA) signatures for this complex process. The results of these studies are likely to pave the way towards the development of a robust hypoxia signature for breast and other cancers that will be useful for diagnosis and therapy. In this review, we outline the existing markers of hypoxia and recently identified gene and miRNA expression signatures, and discuss their potential as prognostic and predictive biomarkers. We also highlight how the hypoxia response is being targeted in the development of cancer therapies.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 2 1%
United Kingdom 1 <1%
Netherlands 1 <1%
Singapore 1 <1%
Luxembourg 1 <1%
Unknown 160 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 23%
Student > Bachelor 28 17%
Researcher 24 14%
Student > Master 24 14%
Student > Doctoral Student 10 6%
Other 17 10%
Unknown 24 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 36%
Medicine and Dentistry 30 18%
Biochemistry, Genetics and Molecular Biology 28 17%
Engineering 5 3%
Pharmacology, Toxicology and Pharmaceutical Science 5 3%
Other 12 7%
Unknown 26 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 June 2017.
All research outputs
of 22,651,245 outputs
Outputs from Genome Medicine
of 1,431 outputs
Outputs of similar age
of 180,239 outputs
Outputs of similar age from Genome Medicine
of 29 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,431 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.5. This one is in the 23rd percentile – i.e., 23% 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 180,239 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 29 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.