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Bayesian DNA copy number analysis

Overview of attention for article published in BMC Bioinformatics, January 2009
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Mentioned by

patent
1 patent

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
38 Mendeley
citeulike
7 CiteULike
connotea
3 Connotea
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Title
Bayesian DNA copy number analysis
Published in
BMC Bioinformatics, January 2009
DOI 10.1186/1471-2105-10-10
Pubmed ID
Authors

Paola MV Rancoita, Marcus Hutter, Francesco Bertoni, Ivo Kwee

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 3%
Belgium 1 3%
Russia 1 3%
Spain 1 3%
United States 1 3%
Philippines 1 3%
Poland 1 3%
Unknown 31 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 29%
Researcher 10 26%
Professor > Associate Professor 6 16%
Student > Master 5 13%
Professor 2 5%
Other 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 39%
Computer Science 7 18%
Mathematics 5 13%
Biochemistry, Genetics and Molecular Biology 4 11%
Medicine and Dentistry 4 11%
Other 3 8%
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 26 July 2018.
All research outputs
#7,482,726
of 22,875,477 outputs
Outputs from BMC Bioinformatics
#3,032
of 7,297 outputs
Outputs of similar age
#49,029
of 169,909 outputs
Outputs of similar age from BMC Bioinformatics
#26
of 65 outputs
Altmetric has tracked 22,875,477 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 7,297 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 169,909 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.