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Fine-scale detection of population-specific linkage disequilibrium using haplotype entropy in the human genome

Overview of attention for article published in BMC Genomic Data, April 2010
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
2 patents

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
36 Mendeley
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Title
Fine-scale detection of population-specific linkage disequilibrium using haplotype entropy in the human genome
Published in
BMC Genomic Data, April 2010
DOI 10.1186/1471-2156-11-27
Pubmed ID
Authors

Hideaki Mizuno, Gurinder Atwal, Haijian Wang, Arnold J Levine, Alexei Vazquez

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Germany 1 3%
Australia 1 3%
Unknown 33 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 28%
Researcher 9 25%
Professor > Associate Professor 5 14%
Student > Bachelor 4 11%
Student > Master 3 8%
Other 3 8%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 53%
Biochemistry, Genetics and Molecular Biology 4 11%
Medicine and Dentistry 3 8%
Unspecified 1 3%
Mathematics 1 3%
Other 6 17%
Unknown 2 6%
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 23 August 2012.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from BMC Genomic Data
#316
of 1,204 outputs
Outputs of similar age
#38,330
of 104,120 outputs
Outputs of similar age from BMC Genomic Data
#4
of 8 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 65% 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 104,120 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.