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A target based approach identifies genomic predictors of breast cancer patient response to chemotherapy

Overview of attention for article published in BMC Medical Genomics, May 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
5 X users

Citations

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14 Dimensions

Readers on

mendeley
33 Mendeley
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Title
A target based approach identifies genomic predictors of breast cancer patient response to chemotherapy
Published in
BMC Medical Genomics, May 2012
DOI 10.1186/1755-8794-5-16
Pubmed ID
Authors

Robin M Hallett, Gregory Pond, John A Hassell

Abstract

The efficacy of chemotherapy regimens in breast cancer patients is variable and unpredictable. Whether individual patients either achieve long-term remission or suffer recurrence after therapy may be dictated by intrinsic properties of their breast tumors including genetic lesions and consequent aberrant transcriptional programs. Global gene expression profiling provides a powerful tool to identify such tumor-intrinsic transcriptional programs, whose analyses provide insight into the underlying biology of individual patient tumors. For example, multi-gene expression signatures have been identified that can predict the likelihood of disease reccurrence, and thus guide patient prognosis. Whereas such prognostic signatures are being introduced in the clinical setting, similar signatures that predict sensitivity or resistance to chemotherapy are not currently clinically available.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 3%
United States 1 3%
Unknown 31 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 33%
Student > Ph. D. Student 6 18%
Student > Master 4 12%
Student > Bachelor 3 9%
Other 3 9%
Other 6 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 33%
Biochemistry, Genetics and Molecular Biology 7 21%
Medicine and Dentistry 6 18%
Computer Science 5 15%
Psychology 2 6%
Other 0 0%
Unknown 2 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 22 July 2013.
All research outputs
#2,773,503
of 22,665,794 outputs
Outputs from BMC Medical Genomics
#109
of 1,211 outputs
Outputs of similar age
#18,726
of 163,915 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 16 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,211 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 90% 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 163,915 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.