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Recent genomic heritage in Scotland

Overview of attention for article published in BMC Genomics, June 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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11 X users
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Citations

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42 Mendeley
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1 CiteULike
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Title
Recent genomic heritage in Scotland
Published in
BMC Genomics, June 2015
DOI 10.1186/s12864-015-1605-2
Pubmed ID
Authors

Carmen Amador, Jennifer Huffman, Holly Trochet, Archie Campbell, David Porteous, Generation Scotland, James F Wilson, Nick Hastie, Veronique Vitart, Caroline Hayward, Pau Navarro, Chris S Haley

Abstract

The Generation Scotland Scottish Family Health Study (GS:SFHS) includes 23,960 participants from across Scotland with records for many health-related traits and environmental covariates. Genotypes at ~700 K SNPs are currently available for 10,000 participants. The cohort was designed as a resource for genetic and health related research and the study of complex traits. In this study we developed a suite of analyses to disentangle the genomic differentiation within GS:SFHS individuals to describe and optimise the sample and methods for future analyses. We combined the genotypic information of GS:SFHS with 1092 individuals from the 1000 Genomes project and estimated their genomic relationships. Then, we performed Principal Component Analyses of the resulting relationships to investigate the genomic origin of different groups. We characterised two groups of individuals: those with a few sparse rare markers in the genome, and those with several large rare haplotypes which might represent relatively recent exogenous ancestors. We identified some individuals with likely Italian ancestry and a group with some potential African/Asian ancestry. An analysis of homozygosity in the GS:SFHS sample revealed a very similar pattern to other European populations. We also identified an individual carrying a chromosome 1 uniparental disomy. We found evidence of local geographic stratification within the population having impact on the genomic structure. These findings illuminate the history of the Scottish population and have implications for further analyses such as the study of the contributions of common and rare variants to trait heritabilities and the evaluation of genomic and phenotypic prediction of disease.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 26%
Student > Bachelor 7 17%
Researcher 5 12%
Professor 3 7%
Professor > Associate Professor 2 5%
Other 5 12%
Unknown 9 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 24%
Biochemistry, Genetics and Molecular Biology 5 12%
Medicine and Dentistry 5 12%
Psychology 3 7%
Neuroscience 3 7%
Other 4 10%
Unknown 12 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 2016.
All research outputs
#5,490,397
of 25,766,791 outputs
Outputs from BMC Genomics
#2,139
of 11,320 outputs
Outputs of similar age
#63,763
of 281,332 outputs
Outputs of similar age from BMC Genomics
#48
of 231 outputs
Altmetric has tracked 25,766,791 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,320 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 81% 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 281,332 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 77% of its contemporaries.
We're also able to compare this research output to 231 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.