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Distinct molecular mechanisms underlying clinically relevant subtypes of breast cancer: gene expression analyses across three different platforms

Overview of attention for article published in BMC Genomics, May 2006
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
2 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
317 Dimensions

Readers on

mendeley
209 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
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Title
Distinct molecular mechanisms underlying clinically relevant subtypes of breast cancer: gene expression analyses across three different platforms
Published in
BMC Genomics, May 2006
DOI 10.1186/1471-2164-7-127
Pubmed ID
Authors

Therese Sørlie, Yulei Wang, Chunlin Xiao, Hilde Johnsen, Bjørn Naume, Raymond R Samaha, Anne-Lise Børresen-Dale

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Germany 1 <1%
Turkey 1 <1%
Italy 1 <1%
Portugal 1 <1%
China 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Russia 1 <1%
Other 0 0%
Unknown 199 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 24%
Researcher 38 18%
Student > Master 31 15%
Student > Bachelor 16 8%
Student > Doctoral Student 13 6%
Other 40 19%
Unknown 20 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 32%
Medicine and Dentistry 53 25%
Biochemistry, Genetics and Molecular Biology 46 22%
Pharmacology, Toxicology and Pharmaceutical Science 7 3%
Neuroscience 3 1%
Other 13 6%
Unknown 21 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 February 2013.
All research outputs
#6,388,831
of 22,699,621 outputs
Outputs from BMC Genomics
#2,867
of 10,616 outputs
Outputs of similar age
#20,212
of 65,689 outputs
Outputs of similar age from BMC Genomics
#12
of 32 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 10,616 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 71% 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 65,689 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 32 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.