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Mendeley readers
Attention Score in Context
| 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 Genomic Data, 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 94 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% |
| United States | 1 | 1% |
| Unknown | 87 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 37% |
| Student > Master | 10 | 11% |
| Student > Ph. D. Student | 10 | 11% |
| Student > Doctoral Student | 9 | 10% |
| Professor | 8 | 9% |
| Other | 13 | 14% |
| Unknown | 9 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 57 | 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 | 11 | 12% |
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
#8,535,684
of 25,374,917 outputs
Outputs from BMC Genomic Data
#316
of 1,204 outputs
Outputs of similar age
#34,535
of 94,348 outputs
Outputs of similar age from BMC Genomic Data
#2
of 3 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. 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 94,348 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% 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.