↓ Skip to main content

Modeling precision treatment of breast cancer

Overview of attention for article published in Genome Biology, December 2013
Altmetric Badge

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 (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Citations

dimensions_citation
262 Dimensions

Readers on

mendeley
350 Mendeley
citeulike
8 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Modeling precision treatment of breast cancer
Published in
Genome Biology, December 2013
DOI 10.1186/gb-2013-14-10-r110
Pubmed ID
Authors

Anneleen Daemen, Obi L Griffith, Laura M Heiser, Nicholas J Wang, Oana M Enache, Zachary Sanborn, Francois Pepin, Steffen Durinck, James E Korkola, Malachi Griffith, Joe S Hur, Nam Huh, Jongsuk Chung, Leslie Cope, Mary Jo Fackler, Christopher Umbricht, Saraswati Sukumar, Pankaj Seth, Vikas P Sukhatme, Lakshmi R Jakkula, Yiling Lu, Gordon B Mills, Raymond J Cho, Eric A Collisson, Laura J van’t Veer, Paul T Spellman, Joe W Gray

Abstract

First-generation molecular profiles for human breast cancers have enabled the identification of features that can predict therapeutic response; however, little is known about how the various data types can best be combined to yield optimal predictors. Collections of breast cancer cell lines mirror many aspects of breast cancer molecular pathobiology, and measurements of their omic and biological therapeutic responses are well-suited for development of strategies to identify the most predictive molecular feature sets.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 350 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 3%
United Kingdom 4 1%
Spain 3 <1%
Denmark 2 <1%
Brazil 2 <1%
Norway 1 <1%
France 1 <1%
Canada 1 <1%
Italy 1 <1%
Other 4 1%
Unknown 320 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 98 28%
Researcher 83 24%
Student > Master 36 10%
Student > Bachelor 28 8%
Student > Doctoral Student 16 5%
Other 55 16%
Unknown 34 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 106 30%
Biochemistry, Genetics and Molecular Biology 84 24%
Computer Science 41 12%
Medicine and Dentistry 31 9%
Engineering 13 4%
Other 26 7%
Unknown 49 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 April 2018.
All research outputs
#1,630,357
of 25,374,647 outputs
Outputs from Genome Biology
#1,326
of 4,467 outputs
Outputs of similar age
#17,762
of 320,163 outputs
Outputs of similar age from Genome Biology
#25
of 97 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd 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 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 320,163 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 94% of its contemporaries.
We're also able to compare this research output to 97 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 74% of its contemporaries.