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Genetic and epigenetic analysis of putative breast cancer stem cell models

Overview of attention for article published in BMC Cancer, July 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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
15 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Genetic and epigenetic analysis of putative breast cancer stem cell models
Published in
BMC Cancer, July 2013
DOI 10.1186/1471-2407-13-358
Pubmed ID
Authors

Marija Balic, Daniela Schwarzenbacher, Stefanie Stanzer, Ellen Heitzer, Martina Auer, Jochen B Geigl, Richard J Cote, Ram H Datar, Nadia Dandachi

Abstract

Cancer stem cell model hypothesizes existence of a small proportion of tumor cells capable of sustaining tumor formation, self-renewal and differentiation. In breast cancer, these cells were found to be associated with CD44⁺CD24-low and ALDH⁺ phenotype. Our study was performed to evaluate the suitability of current approaches for breast cancer stem cell analyses to evaluate heterogeneity of breast cancer cells through their extensive genetic and epigenetic characterization.

Twitter Demographics

The data shown below were collected from the profiles of 15 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Egypt 2 5%
United States 2 5%
Mexico 1 2%
Unknown 37 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Student > Master 7 17%
Researcher 6 14%
Student > Doctoral Student 5 12%
Student > Bachelor 5 12%
Other 9 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 38%
Medicine and Dentistry 12 29%
Biochemistry, Genetics and Molecular Biology 8 19%
Environmental Science 2 5%
Physics and Astronomy 1 2%
Other 2 5%
Unknown 1 2%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 July 2015.
All research outputs
#1,584,841
of 11,721,322 outputs
Outputs from BMC Cancer
#353
of 4,303 outputs
Outputs of similar age
#19,523
of 139,793 outputs
Outputs of similar age from BMC Cancer
#4
of 57 outputs
Altmetric has tracked 11,721,322 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,303 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 91% 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 139,793 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 86% of its contemporaries.
We're also able to compare this research output to 57 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 92% of its contemporaries.