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TNBCtype: A Subtyping Tool for Triple-Negative Breast Cancer

Overview of attention for article published in Cancer Informatics, July 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#38 of 472)
  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

twitter
1 X user
patent
5 patents

Readers on

mendeley
230 Mendeley
citeulike
2 CiteULike
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Article details
Title
TNBCtype: A Subtyping Tool for Triple-Negative Breast Cancer
Published in
Cancer Informatics, July 2012
DOI 10.4137/cin.s9983
Pubmed ID
Authors
Abstract

Triple-negative breast cancer (TNBC) is a heterogeneous breast cancer group, and identification of molecular subtypes is essential for understanding the biological characteristics and clinical behaviors of TNBC as well as for developing personalized treatments. Based on 3,247 gene expression profiles from 21 breast cancer data sets, we discovered six TNBC subtypes from 587 TNBC samples with unique gene expression patterns and ontologies. Cell line models representing each of the TNBC subtypes also displayed different sensitivities to targeted therapeutic agents. Classification of TNBC into subtypes will advance further genomic research and clinical applications.

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 230 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Norway 1 <1%
Mexico 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
France 1 <1%
Unknown 224 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 48 21%
Student > Ph. D. Student 44 19%
Student > Bachelor 18 8%
Student > Master 16 7%
Student > Doctoral Student 12 5%
Other 34 15%
Unknown 58 25%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 48 21%
Agricultural and Biological Sciences 42 18%
Medicine and Dentistry 30 13%
Computer Science 13 6%
Pharmacology, Toxicology and Pharmaceutical Science 7 3%
Other 25 11%
Unknown 65 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 2026.
All research outputs
#7,201,555
of 34,089,221 outputs
Outputs from Cancer Informatics
#38
of 472 outputs
Outputs of similar age
#45,317
of 213,404 outputs
Outputs of similar age from Cancer Informatics
#1
of 2 outputs
Altmetric has tracked 34,089,221 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 472 research outputs from this source. They receive a mean Attention Score of 2.7. 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 213,404 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 78% of its contemporaries.
We're also able to compare this research output to 2 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