↓ Skip to main content

The removal of multiplicative, systematic bias allows integration of breast cancer gene expression datasets – improving meta-analysis and prediction of prognosis

Overview of attention for article published in BMC Medical Genomics, September 2008
Altmetric Badge

Mentioned by

patent
5 patents

Citations

dimensions_citation
133 Dimensions

Readers on

mendeley
120 Mendeley
citeulike
7 CiteULike
connotea
1 Connotea
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
The removal of multiplicative, systematic bias allows integration of breast cancer gene expression datasets – improving meta-analysis and prediction of prognosis
Published in
BMC Medical Genomics, September 2008
DOI 10.1186/1755-8794-1-42
Pubmed ID
Authors

Andrew H Sims, Graeme J Smethurst, Yvonne Hey, Michal J Okoniewski, Stuart D Pepper, Anthony Howell, Crispin J Miller, Robert B Clarke

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 3%
Sweden 1 <1%
Hungary 1 <1%
Belgium 1 <1%
Japan 1 <1%
Greece 1 <1%
United States 1 <1%
Poland 1 <1%
Unknown 109 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 32%
Student > Ph. D. Student 26 22%
Professor > Associate Professor 11 9%
Student > Master 10 8%
Student > Doctoral Student 5 4%
Other 13 11%
Unknown 17 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 30%
Biochemistry, Genetics and Molecular Biology 25 21%
Computer Science 16 13%
Medicine and Dentistry 12 10%
Mathematics 6 5%
Other 5 4%
Unknown 20 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 October 2019.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from BMC Medical Genomics
#662
of 2,488 outputs
Outputs of similar age
#37,500
of 102,219 outputs
Outputs of similar age from BMC Medical Genomics
#7
of 13 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,488 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 63% 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 102,219 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.