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Whole-genome sequence variation, population structure and demographic history of the Dutch population

Overview of attention for article published in Nature Genetics, June 2014
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
3 news outlets
blogs
7 blogs
twitter
110 X users
patent
4 patents
wikipedia
1 Wikipedia page
googleplus
3 Google+ users

Citations

dimensions_citation
631 Dimensions

Readers on

mendeley
788 Mendeley
citeulike
8 CiteULike
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Title
Whole-genome sequence variation, population structure and demographic history of the Dutch population
Published in
Nature Genetics, June 2014
DOI 10.1038/ng.3021
Pubmed ID
Abstract

Whole-genome sequencing enables complete characterization of genetic variation, but geographic clustering of rare alleles demands many diverse populations be studied. Here we describe the Genome of the Netherlands (GoNL) Project, in which we sequenced the whole genomes of 250 Dutch parent-offspring families and constructed a haplotype map of 20.4 million single-nucleotide variants and 1.2 million insertions and deletions. The intermediate coverage (∼13×) and trio design enabled extensive characterization of structural variation, including midsize events (30-500 bp) previously poorly catalogued and de novo mutations. We demonstrate that the quality of the haplotypes boosts imputation accuracy in independent samples, especially for lower frequency alleles. Population genetic analyses demonstrate fine-scale structure across the country and support multiple ancient migrations, consistent with historical changes in sea level and flooding. The GoNL Project illustrates how single-population whole-genome sequencing can provide detailed characterization of genetic variation and may guide the design of future population studies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 110 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 788 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 16 2%
Netherlands 11 1%
Spain 5 <1%
Germany 4 <1%
United Kingdom 4 <1%
Russia 2 <1%
Italy 2 <1%
Brazil 2 <1%
Hong Kong 1 <1%
Other 11 1%
Unknown 730 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 218 28%
Researcher 199 25%
Student > Master 90 11%
Student > Bachelor 53 7%
Other 40 5%
Other 103 13%
Unknown 85 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 326 41%
Biochemistry, Genetics and Molecular Biology 172 22%
Medicine and Dentistry 75 10%
Computer Science 39 5%
Psychology 9 1%
Other 60 8%
Unknown 107 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 143. 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 26 September 2023.
All research outputs
#293,224
of 25,711,518 outputs
Outputs from Nature Genetics
#529
of 7,606 outputs
Outputs of similar age
#2,333
of 242,878 outputs
Outputs of similar age from Nature Genetics
#4
of 55 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,606 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.4. This one has done particularly well, scoring higher than 93% 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 242,878 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 55 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 92% of its contemporaries.