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Using previously genotyped controls in genome-wide association studies (GWAS): application to the Stroke Genetics Network (SiGN)

Overview of attention for article published in Frontiers in Genetics, April 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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6 X users
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1 Google+ user

Readers on

mendeley
54 Mendeley
citeulike
2 CiteULike
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Title
Using previously genotyped controls in genome-wide association studies (GWAS): application to the Stroke Genetics Network (SiGN)
Published in
Frontiers in Genetics, April 2014
DOI 10.3389/fgene.2014.00095
Pubmed ID
Authors

Braxton D. Mitchell, Myriam Fornage, Patrick F. McArdle, Yu-Ching Cheng, Sara L. Pulit, Quenna Wong, Tushar Dave, Stephen R. Williams, Roderick Corriveau, Katrina Gwinn, Kimberly Doheny, Cathy C. Laurie, Stephen S. Rich, Paul I. W. de Bakker, on behalf of the Stroke Genetics Network

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Estonia 1 2%
Unknown 53 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 39%
Student > Ph. D. Student 8 15%
Student > Postgraduate 6 11%
Student > Master 5 9%
Professor 4 7%
Other 4 7%
Unknown 6 11%
Readers by discipline Count As %
Medicine and Dentistry 14 26%
Biochemistry, Genetics and Molecular Biology 13 24%
Agricultural and Biological Sciences 13 24%
Mathematics 2 4%
Computer Science 2 4%
Other 2 4%
Unknown 8 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 May 2014.
All research outputs
#7,629,858
of 26,017,215 outputs
Outputs from Frontiers in Genetics
#2,363
of 13,785 outputs
Outputs of similar age
#69,476
of 246,194 outputs
Outputs of similar age from Frontiers in Genetics
#44
of 116 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 13,785 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 82% 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 246,194 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.