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Genome partitioning of genetic variation for complex traits using common SNPs

Overview of attention for article published in Nature Genetics, May 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 (89th percentile)

Mentioned by

2 blogs
7 tweeters


688 Dimensions

Readers on

875 Mendeley
13 CiteULike
1 Connotea
Genome partitioning of genetic variation for complex traits using common SNPs
Published in
Nature Genetics, May 2011
DOI 10.1038/ng.823
Pubmed ID

Jian Yang, Teri A Manolio, Louis R Pasquale, Eric Boerwinkle, Neil Caporaso, Julie M Cunningham, Mariza de Andrade, Bjarke Feenstra, Eleanor Feingold, M Geoffrey Hayes, William G Hill, Maria Teresa Landi, Alvaro Alonso, Guillaume Lettre, Peng Lin, Hua Ling, William Lowe, Rasika A Mathias, Mads Melbye, Elizabeth Pugh, Marilyn C Cornelis, Bruce S Weir, Michael E Goddard, Peter M Visscher

Twitter Demographics

The data shown below were collected from the profiles of 7 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 875 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 26 3%
United Kingdom 7 <1%
New Zealand 5 <1%
Brazil 4 <1%
Australia 4 <1%
Hungary 3 <1%
Germany 3 <1%
France 2 <1%
India 2 <1%
Other 22 3%
Unknown 797 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 252 29%
Student > Ph. D. Student 227 26%
Student > Master 81 9%
Professor 55 6%
Student > Bachelor 45 5%
Other 159 18%
Unknown 56 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 437 50%
Biochemistry, Genetics and Molecular Biology 115 13%
Medicine and Dentistry 84 10%
Psychology 30 3%
Computer Science 27 3%
Other 100 11%
Unknown 82 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 03 August 2016.
All research outputs
of 17,389,828 outputs
Outputs from Nature Genetics
of 6,646 outputs
Outputs of similar age
of 193,437 outputs
Outputs of similar age from Nature Genetics
of 33 outputs
Altmetric has tracked 17,389,828 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,646 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.5. This one has gotten more attention than average, scoring higher than 69% 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 193,437 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 89% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.