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A stepwise framework for the normalization of array CGH data

Overview of attention for article published in BMC Bioinformatics, November 2005
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Mentioned by

patent
1 patent

Citations

dimensions_citation
79 Dimensions

Readers on

mendeley
56 Mendeley
citeulike
3 CiteULike
connotea
2 Connotea
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Title
A stepwise framework for the normalization of array CGH data
Published in
BMC Bioinformatics, November 2005
DOI 10.1186/1471-2105-6-274
Pubmed ID
Authors

Mehrnoush Khojasteh, Wan L Lam, Rabab K Ward, Calum MacAulay

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Italy 2 4%
Canada 2 4%
Australia 1 2%
France 1 2%
United Kingdom 1 2%
Unknown 46 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 43%
Student > Ph. D. Student 9 16%
Student > Master 5 9%
Professor > Associate Professor 4 7%
Other 4 7%
Other 8 14%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 46%
Medicine and Dentistry 9 16%
Biochemistry, Genetics and Molecular Biology 5 9%
Computer Science 4 7%
Engineering 3 5%
Other 5 9%
Unknown 4 7%
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 05 May 2011.
All research outputs
#7,551,483
of 23,036,991 outputs
Outputs from BMC Bioinformatics
#3,041
of 7,318 outputs
Outputs of similar age
#38,104
of 146,949 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 15 outputs
Altmetric has tracked 23,036,991 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,318 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 146,949 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.