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Differential subcellular and extracellular localisations of proteins required for insulin-like growth factor- and extracellular matrix-induced signalling events in breast cancer progression

Overview of attention for article published in BMC Cancer, August 2014
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Title
Differential subcellular and extracellular localisations of proteins required for insulin-like growth factor- and extracellular matrix-induced signalling events in breast cancer progression
Published in
BMC Cancer, August 2014
DOI 10.1186/1471-2407-14-627
Pubmed ID
Authors

Helen C Plant, Abhishek S Kashyap, Kerry J Manton, Brett G Hollier, Cameron P Hurst, Sandra R Stein, Glenn D Francis, Geoffrey F Beadle, Zee Upton, David I Leavesley

Abstract

Cancer metastasis is the main contributor to breast cancer fatalities as women with the metastatic disease have poorer survival outcomes than women with localised breast cancers. There is an urgent need to develop appropriate prognostic methods to stratify patients based on the propensities of their cancers to metastasise. The insulin-like growth factor (IGF)-I: IGF binding protein (IGFBP):vitronectin complexes have been shown to stimulate changes in gene expression favouring increased breast cancer cell survival and a migratory phenotype. We therefore investigated the prognostic potential of these IGF- and extracellular matrix (ECM) interaction-induced proteins in the early identification of breast cancers with a propensity to metastasise using patient-derived tissue microarrays.

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 18%
Researcher 2 18%
Professor 2 18%
Other 1 9%
Student > Ph. D. Student 1 9%
Other 1 9%
Unknown 2 18%
Readers by discipline Count As %
Medicine and Dentistry 4 36%
Biochemistry, Genetics and Molecular Biology 2 18%
Agricultural and Biological Sciences 1 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Unknown 3 27%
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 August 2014.
All research outputs
#18,376,927
of 22,761,738 outputs
Outputs from BMC Cancer
#5,418
of 8,277 outputs
Outputs of similar age
#168,260
of 236,210 outputs
Outputs of similar age from BMC Cancer
#106
of 158 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,277 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 21st percentile – i.e., 21% 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 236,210 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.