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The impact of rare and low-frequency genetic variants in common disease

Overview of attention for article published in Genome Biology (Online Edition), April 2017
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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 (88th percentile)

Mentioned by

twitter
36 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
226 Dimensions

Readers on

mendeley
520 Mendeley
citeulike
5 CiteULike
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Title
The impact of rare and low-frequency genetic variants in common disease
Published in
Genome Biology (Online Edition), April 2017
DOI 10.1186/s13059-017-1212-4
Pubmed ID
Authors

Lorenzo Bomba, Klaudia Walter, Nicole Soranzo

Abstract

Despite thousands of genetic loci identified to date, a large proportion of genetic variation predisposing to complex disease and traits remains unaccounted for. Advances in sequencing technology enable focused explorations on the contribution of low-frequency and rare variants to human traits. Here we review experimental approaches and current knowledge on the contribution of these genetic variants in complex disease and discuss challenges and opportunities for personalised medicine.

Twitter Demographics

The data shown below were collected from the profiles of 36 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 520 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 517 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 120 23%
Researcher 93 18%
Student > Master 63 12%
Student > Bachelor 55 11%
Student > Doctoral Student 27 5%
Other 72 14%
Unknown 90 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 184 35%
Agricultural and Biological Sciences 102 20%
Medicine and Dentistry 43 8%
Computer Science 15 3%
Neuroscience 13 3%
Other 50 10%
Unknown 113 22%

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 12 August 2018.
All research outputs
#1,652,906
of 22,090,387 outputs
Outputs from Genome Biology (Online Edition)
#1,517
of 4,035 outputs
Outputs of similar age
#32,977
of 284,640 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 22,090,387 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 4,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 62% 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 284,640 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 88% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them