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Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations

Overview of attention for article published in Nature Genetics, August 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 7,624)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Citations

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2193 Dimensions

Readers on

mendeley
2279 Mendeley
citeulike
2 CiteULike
Title
Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations
Published in
Nature Genetics, August 2018
DOI 10.1038/s41588-018-0183-z
Pubmed ID
Authors

Amit V. Khera, Mark Chaffin, Krishna G. Aragam, Mary E. Haas, Carolina Roselli, Seung Hoan Choi, Pradeep Natarajan, Eric S. Lander, Steven A. Lubitz, Patrick T. Ellinor, Sekar Kathiresan

X Demographics

X Demographics

The data shown below were collected from the profiles of 814 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 2,279 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2279 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 425 19%
Researcher 421 18%
Student > Bachelor 212 9%
Student > Master 208 9%
Other 127 6%
Other 354 16%
Unknown 532 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 591 26%
Medicine and Dentistry 364 16%
Agricultural and Biological Sciences 236 10%
Computer Science 71 3%
Neuroscience 59 3%
Other 292 13%
Unknown 666 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1700. 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 20 December 2023.
All research outputs
#6,368
of 25,793,330 outputs
Outputs from Nature Genetics
#9
of 7,624 outputs
Outputs of similar age
#111
of 342,373 outputs
Outputs of similar age from Nature Genetics
#3
of 76 outputs
Altmetric has tracked 25,793,330 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,624 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.9. This one has done particularly well, scoring higher than 99% 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 342,373 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.