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Genome-wide algorithm for detecting CNV associations with diseases

Overview of attention for article published in BMC Bioinformatics, August 2011
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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 (82nd percentile)

Mentioned by

blogs
1 blog
twitter
5 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
42 Mendeley
citeulike
3 CiteULike
connotea
2 Connotea
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Title
Genome-wide algorithm for detecting CNV associations with diseases
Published in
BMC Bioinformatics, August 2011
DOI 10.1186/1471-2105-12-331
Pubmed ID
Authors

Yaji Xu, Bo Peng, Yunxin Fu, Christopher I Amos

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
France 1 2%
Sweden 1 2%
Germany 1 2%
Mexico 1 2%
Belgium 1 2%
United States 1 2%
Poland 1 2%
Unknown 33 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 33%
Student > Ph. D. Student 11 26%
Professor > Associate Professor 3 7%
Student > Master 3 7%
Student > Bachelor 2 5%
Other 7 17%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 57%
Medicine and Dentistry 6 14%
Biochemistry, Genetics and Molecular Biology 5 12%
Mathematics 2 5%
Business, Management and Accounting 1 2%
Other 2 5%
Unknown 2 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 16 August 2011.
All research outputs
#2,253,548
of 17,389,828 outputs
Outputs from BMC Bioinformatics
#876
of 6,152 outputs
Outputs of similar age
#34,570
of 191,191 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 2 outputs
Altmetric has tracked 17,389,828 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,152 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 85% 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 191,191 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them