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Tumour-associated endothelial-FAK correlated with molecular sub-type and prognostic factors in invasive breast cancer

Overview of attention for article published in BMC Cancer, April 2014
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Title
Tumour-associated endothelial-FAK correlated with molecular sub-type and prognostic factors in invasive breast cancer
Published in
BMC Cancer, April 2014
DOI 10.1186/1471-2407-14-237
Pubmed ID
Authors

Annika N Alexopoulou, Colan M Ho-Yen, Vassilis Papalazarou, George Elia, J Louise Jones, Kairbaan Hodivala-Dilke

Abstract

Breast cancer is a heterogeneous disease that can be classified into one of 4 main molecular sub-types: luminal A, luminal B, Her2 over-expressing and basal-like (BL). These tumour sub-types require different treatments and have different risks of disease progression. BL cancers can be considered a sub-group of Triple negative (TN) cancers since they lack estrogen (ER), progesterone (PR) and Her2 expression. No targeted treatment currently exists for TN/BL cancers. Thus it is important to identify potential therapeutic targets and describe their relationship with established prognostic factors. Focal adhesion kinase (FAK) is upregulated in several human cancers and also plays a functional role in tumour angiogenesis. However, the association between breast cancer sub-types and tumour endothelial-FAK expression is unknown.

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

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 45%
Researcher 5 17%
Student > Bachelor 3 10%
Student > Doctoral Student 2 7%
Other 1 3%
Other 2 7%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 31%
Biochemistry, Genetics and Molecular Biology 7 24%
Medicine and Dentistry 5 17%
Immunology and Microbiology 1 3%
Computer Science 1 3%
Other 2 7%
Unknown 4 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 May 2014.
All research outputs
#20,230,558
of 22,756,196 outputs
Outputs from BMC Cancer
#6,484
of 8,276 outputs
Outputs of similar age
#192,746
of 225,541 outputs
Outputs of similar age from BMC Cancer
#119
of 131 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,276 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% 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 225,541 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.