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Population substructure in Finland and Sweden revealed by the use of spatial coordinates and a small number of unlinked autosomal SNPs

Overview of attention for article published in BMC Genetics, August 2008
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1 Wikipedia page

Citations

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Title
Population substructure in Finland and Sweden revealed by the use of spatial coordinates and a small number of unlinked autosomal SNPs
Published in
BMC Genetics, August 2008
DOI 10.1186/1471-2156-9-54
Pubmed ID
Authors

Ulf Hannelius, Elina Salmela, Tuuli Lappalainen, Gilles Guillot, Cecilia M Lindgren, Ulrika von Döbeln, Päivi Lahermo, Juha Kere

Abstract

Despite several thousands of years of close contacts, there are genetic differences between the neighbouring countries of Finland and Sweden. Within Finland, signs of an east-west duality have been observed, whereas the population structure within Sweden has been suggested to be more subtle. With a fine-scale substructure like this, inferring the cluster membership of individuals requires a large number of markers. However, some studies have suggested that this number could be reduced if the individual spatial coordinates are taken into account in the analysis.

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 1%
France 1 1%
Australia 1 1%
Sweden 1 1%
Finland 1 1%
United Kingdom 1 1%
Mexico 1 1%
United States 1 1%
Unknown 84 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 38%
Student > Ph. D. Student 10 11%
Student > Doctoral Student 9 10%
Student > Master 9 10%
Professor 8 9%
Other 13 14%
Unknown 8 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 61%
Biochemistry, Genetics and Molecular Biology 9 10%
Medicine and Dentistry 9 10%
Social Sciences 3 3%
Environmental Science 2 2%
Other 3 3%
Unknown 10 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 September 2015.
All research outputs
#7,452,489
of 22,783,848 outputs
Outputs from BMC Genetics
#275
of 1,056 outputs
Outputs of similar age
#30,028
of 83,429 outputs
Outputs of similar age from BMC Genetics
#2
of 3 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,056 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 65% 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 83,429 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.