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A genomic analysis of mouse models of breast cancer reveals molecular features ofmouse models and relationships to human breast cancer

Overview of attention for article published in Breast Cancer Research, June 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#49 of 1,836)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
5 tweeters

Citations

dimensions_citation
65 Dimensions

Readers on

mendeley
123 Mendeley
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Title
A genomic analysis of mouse models of breast cancer reveals molecular features ofmouse models and relationships to human breast cancer
Published in
Breast Cancer Research, June 2014
DOI 10.1186/bcr3672
Pubmed ID
Authors

Daniel P Hollern, Eran R Andrechek

Abstract

Genomic variability limits the efficacy of breast cancer therapy. To simplify the study of the molecular complexity of breast cancer, researchers have used mouse mammary tumor models. However, the degree to which mouse models model human breast cancer and are reflective of the human heterogeneity has yet to be demonstrated with gene expression studies on a large scale.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Puerto Rico 1 <1%
Sweden 1 <1%
France 1 <1%
Unknown 118 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 30%
Researcher 21 17%
Student > Master 11 9%
Student > Bachelor 8 7%
Professor 6 5%
Other 23 19%
Unknown 17 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 36 29%
Agricultural and Biological Sciences 36 29%
Medicine and Dentistry 15 12%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Engineering 3 2%
Other 8 7%
Unknown 21 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 53. 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 February 2017.
All research outputs
#607,653
of 21,343,339 outputs
Outputs from Breast Cancer Research
#49
of 1,836 outputs
Outputs of similar age
#6,530
of 205,982 outputs
Outputs of similar age from Breast Cancer Research
#1
of 25 outputs
Altmetric has tracked 21,343,339 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,836 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has done particularly well, scoring higher than 97% 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 205,982 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 96% of its contemporaries.
We're also able to compare this research output to 25 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 99% of its contemporaries.