↓ Skip to main content

Improved imputation of common and uncommon SNPs with a new reference set

Overview of attention for article published in Nature Genetics, December 2011
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 X users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
84 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Improved imputation of common and uncommon SNPs with a new reference set
Published in
Nature Genetics, December 2011
DOI 10.1038/ng.1044
Pubmed ID
Authors

Zhaoming Wang, Kevin B Jacobs, Meredith Yeager, Amy Hutchinson, Joshua Sampson, Nilanjan Chatterjee, Demetrius Albanes, Sonja I Berndt, Charles C Chung, W Ryan Diver, Susan M Gapstur, Lauren R Teras, Christopher A Haiman, Brian E Henderson, Daniel Stram, Xiang Deng, Ann W Hsing, Jarmo Virtamo, Michael A Eberle, Jennifer L Stone, Mark P Purdue, Phil Taylor, Margaret Tucker, Stephen J Chanock

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
Singapore 1 1%
Unknown 79 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 32%
Student > Ph. D. Student 26 31%
Student > Master 7 8%
Professor 5 6%
Student > Doctoral Student 4 5%
Other 9 11%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 56%
Biochemistry, Genetics and Molecular Biology 13 15%
Medicine and Dentistry 10 12%
Mathematics 3 4%
Computer Science 2 2%
Other 3 4%
Unknown 6 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 September 2016.
All research outputs
#13,862,653
of 22,660,862 outputs
Outputs from Nature Genetics
#6,562
of 7,173 outputs
Outputs of similar age
#151,559
of 243,649 outputs
Outputs of similar age from Nature Genetics
#70
of 85 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,173 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.9. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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 243,649 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.