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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, 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)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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36 X users
facebook
2 Facebook pages

Citations

dimensions_citation
285 Dimensions

Readers on

mendeley
568 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, 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 36 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 568 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 565 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 130 23%
Researcher 94 17%
Student > Master 65 11%
Student > Bachelor 61 11%
Student > Doctoral Student 29 5%
Other 78 14%
Unknown 111 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 207 36%
Agricultural and Biological Sciences 102 18%
Medicine and Dentistry 45 8%
Neuroscience 14 2%
Computer Science 14 2%
Other 54 10%
Unknown 132 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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
#1,958,443
of 25,504,429 outputs
Outputs from Genome Biology
#1,636
of 4,483 outputs
Outputs of similar age
#36,327
of 323,719 outputs
Outputs of similar age from Genome Biology
#31
of 54 outputs
Altmetric has tracked 25,504,429 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 4,483 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 63% 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 323,719 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 54 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.