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

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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	18713460
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.

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Mendeley readers

The data shown below were compiled from readership statistics for 88 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	80	91%

Demographic breakdown

Readers by professional status	Count	As %
Researcher	33	38%
Student > Ph. D. Student	10	11%
Student > Doctoral Student	9	10%
Student > Master	9	10%
Professor	8	9%
Other	13	15%
Unknown	6	7%

Readers by discipline	Count	As %
Agricultural and Biological Sciences	55	63%
Medicine and Dentistry	9	10%
Biochemistry, Genetics and Molecular Biology	8	9%
Social Sciences	3	3%
Environmental Science	2	2%
Other	3	3%
Unknown	8	9%

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

#5,502,237

of 17,086,389 outputs

Outputs from BMC Genetics

#257

of 1,034 outputs

Outputs of similar age

#90,021

of 293,966 outputs

Outputs of similar age from BMC Genetics

of 17 outputs

Altmetric has tracked 17,086,389 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.

So far Altmetric has tracked 1,034 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 69% 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 293,966 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.

We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.

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

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Demographic breakdown

Attention Score in Context