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Genetic heterogeneity in breast cancer: the road to personalized medicine?

Overview of attention for article published in BMC Medicine, June 2013
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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 (93rd percentile)

Mentioned by

blogs
1 blog
twitter
20 tweeters

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
116 Mendeley
citeulike
2 CiteULike
Title
Genetic heterogeneity in breast cancer: the road to personalized medicine?
Published in
BMC Medicine, June 2013
DOI 10.1186/1741-7015-11-151
Pubmed ID
Authors

Richard D Baird, Carlos Caldas

Abstract

More women die from breast cancer across the world today than from any other type of malignancy. The clinical course of breast cancer varies tremendously between patients. While some of this variability is explained by traditional clinico-pathological factors (including patient age, tumor stage, histological grade and estrogen receptor status), molecular profiling studies have defined breast cancer subtypes with distinct clinical outcomes. This mini-review considers recent studies which have used genomics technologies in an attempt to identify new biomarkers of prognosis and treatment response. These studies highlight the genetic heterogeneity that exists within breast cancers in space and time.

Twitter Demographics

The data shown below were collected from the profiles of 20 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 3%
Spain 1 <1%
Italy 1 <1%
Switzerland 1 <1%
Denmark 1 <1%
Egypt 1 <1%
United States 1 <1%
Ecuador 1 <1%
Unknown 106 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 25%
Student > Ph. D. Student 26 22%
Student > Master 18 16%
Student > Bachelor 8 7%
Other 7 6%
Other 28 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 34%
Medicine and Dentistry 37 32%
Biochemistry, Genetics and Molecular Biology 15 13%
Unspecified 8 7%
Computer Science 4 3%
Other 12 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 24 October 2013.
All research outputs
#711,285
of 13,047,599 outputs
Outputs from BMC Medicine
#615
of 2,081 outputs
Outputs of similar age
#9,599
of 151,303 outputs
Outputs of similar age from BMC Medicine
#1
of 1 outputs
Altmetric has tracked 13,047,599 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,081 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.8. This one has gotten more attention than average, scoring higher than 70% 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 151,303 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them