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Patient-derived xenografts of triple-negative breast cancer reproduce molecular features of patient tumors and respond to mTOR inhibition

Overview of attention for article published in Breast Cancer Research, April 2014
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1 Facebook page

Citations

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Readers on

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119 Mendeley
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1 CiteULike
Title
Patient-derived xenografts of triple-negative breast cancer reproduce molecular features of patient tumors and respond to mTOR inhibition
Published in
Breast Cancer Research, April 2014
DOI 10.1186/bcr3640
Pubmed ID
Authors

Haiyu Zhang, Adam L Cohen, Sujatha Krishnakumar, Irene L Wapnir, Selvaraju Veeriah, Glenn Deng, Marc A Coram, Caroline M Piskun, Teri A Longacre, Michael Herrler, Daniel O Frimannsson, Melinda L Telli, Frederick M Dirbas, AC Matin, Shanaz H Dairkee, Banafshe Larijani, Gennadi V Glinsky, Andrea H Bild, Stefanie S Jeffrey

Abstract

Triple-negative breast cancer (TNBC) is aggressive and lacks targeted therapies. Phosphatidylinositide 3-kinase (PI3K)/mammalian target of rapamycin (mTOR) pathways are frequently activated in TNBC patient tumors at the genome, gene expression and protein levels, and mTOR inhibitors have been shown to inhibit growth in TNBC cell lines. We describe a panel of patient-derived xenografts representing multiple TNBC subtypes and use them to test preclinical drug efficacy of two mTOR inhibitors, sirolimus (rapamycin) and temsirolimus (CCI-779).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Germany 1 <1%
Unknown 117 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 20%
Student > Ph. D. Student 20 17%
Student > Master 13 11%
Student > Bachelor 8 7%
Student > Doctoral Student 7 6%
Other 19 16%
Unknown 28 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 21%
Biochemistry, Genetics and Molecular Biology 21 18%
Medicine and Dentistry 20 17%
Pharmacology, Toxicology and Pharmaceutical Science 7 6%
Computer Science 2 2%
Other 12 10%
Unknown 32 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 08 April 2014.
All research outputs
#22,759,802
of 25,374,647 outputs
Outputs from Breast Cancer Research
#1,883
of 2,053 outputs
Outputs of similar age
#209,715
of 241,188 outputs
Outputs of similar age from Breast Cancer Research
#27
of 29 outputs
Altmetric has tracked 25,374,647 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 2,053 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. 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 241,188 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 29 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.