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Functional genomic analysis of drug sensitivity pathways to guide adjuvant strategies in breast cancer

Overview of attention for article published in Breast Cancer Research, October 2008
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
2 patents

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
70 Mendeley
citeulike
4 CiteULike
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Title
Functional genomic analysis of drug sensitivity pathways to guide adjuvant strategies in breast cancer
Published in
Breast Cancer Research, October 2008
DOI 10.1186/bcr2159
Pubmed ID
Authors

Charles Swanton, Zoltan Szallasi, James D Brenton, Julian Downward

Abstract

The widespread introduction of high throughput RNA interference screening technology has revealed tumour drug sensitivity pathways to common cytotoxics such as paclitaxel, doxorubicin and 5-fluorouracil, targeted agents such as trastuzumab and inhibitors of AKT and Poly(ADP-ribose) polymerase (PARP) as well as endocrine therapies such as tamoxifen. Given the limited power of microarray signatures to predict therapeutic response in associative studies of small clinical trial cohorts, the use of functional genomic data combined with expression or sequence analysis of genes and microRNAs implicated in drug response in human tumours may provide a more robust method to guide adjuvant treatment strategies in breast cancer that are transferable across different expression platforms and patient cohorts.

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Brazil 2 3%
Canada 1 1%
Mexico 1 1%
Japan 1 1%
Latvia 1 1%
Unknown 61 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 46%
Student > Ph. D. Student 8 11%
Student > Master 6 9%
Other 5 7%
Professor > Associate Professor 3 4%
Other 12 17%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 57%
Medicine and Dentistry 11 16%
Biochemistry, Genetics and Molecular Biology 10 14%
Economics, Econometrics and Finance 1 1%
Psychology 1 1%
Other 3 4%
Unknown 4 6%

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 06 October 2015.
All research outputs
#2,708,639
of 10,036,909 outputs
Outputs from Breast Cancer Research
#422
of 1,244 outputs
Outputs of similar age
#106,214
of 343,475 outputs
Outputs of similar age from Breast Cancer Research
#27
of 40 outputs
Altmetric has tracked 10,036,909 research outputs across all sources so far. This one has received more attention than most of these and is in the 55th percentile.
So far Altmetric has tracked 1,244 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has gotten more attention than average, scoring higher than 50% 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 343,475 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 66% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.