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Transcriptomic classification of genetically engineered mouse models of breast cancer identifies human subtype counterparts

Overview of attention for article published in Genome Biology, November 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 (90th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
13 X users
patent
3 patents
googleplus
2 Google+ users

Citations

dimensions_citation
187 Dimensions

Readers on

mendeley
183 Mendeley
citeulike
2 CiteULike
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Title
Transcriptomic classification of genetically engineered mouse models of breast cancer identifies human subtype counterparts
Published in
Genome Biology, November 2013
DOI 10.1186/gb-2013-14-11-r125
Pubmed ID
Authors

Adam D Pfefferle, Jason I Herschkowitz, Jerry Usary, Joshua Chuck Harrell, Benjamin T Spike, Jessica R Adams, Maria I Torres-Arzayus, Myles Brown, Sean E Egan, Geoffrey M Wahl, Jeffrey M Rosen, Charles M Perou

Abstract

Human breast cancer is a heterogeneous disease consisting of multiple molecular subtypes. Genetically engineered mouse models are a useful resource for studying mammary cancers in vivo under genetically controlled and immune competent conditions. Identifying murine models with conserved human tumor features will facilitate etiology determinations, highlight the effects of mutations on pathway activation, and should improve preclinical drug testing.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Germany 1 <1%
Norway 1 <1%
Unknown 180 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 31%
Researcher 40 22%
Student > Master 12 7%
Student > Bachelor 12 7%
Professor > Associate Professor 8 4%
Other 25 14%
Unknown 30 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 32%
Biochemistry, Genetics and Molecular Biology 52 28%
Medicine and Dentistry 19 10%
Computer Science 6 3%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Other 8 4%
Unknown 36 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 17 August 2021.
All research outputs
#2,305,609
of 25,374,917 outputs
Outputs from Genome Biology
#1,898
of 4,467 outputs
Outputs of similar age
#20,860
of 224,656 outputs
Outputs of similar age from Genome Biology
#25
of 58 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 57% 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 224,656 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 90% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.