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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide association study identifies multiple loci influencing human serum metabolite levels
|
|---|---|
| Published in |
Nature Genetics, January 2012
|
| DOI | 10.1038/ng.1073 |
| Pubmed ID | |
| Authors |
Johannes Kettunen, Taru Tukiainen, Antti-Pekka Sarin, Alfredo Ortega-Alonso, Emmi Tikkanen, Leo-Pekka Lyytikäinen, Antti J Kangas, Pasi Soininen, Peter Würtz, Kaisa Silander, Danielle M Dick, Richard J Rose, Markku J Savolainen, Jorma Viikari, Mika Kähönen, Terho Lehtimäki, Kirsi H Pietiläinen, Michael Inouye, Mark I McCarthy, Antti Jula, Johan Eriksson, Olli T Raitakari, Veikko Salomaa, Jaakko Kaprio, Marjo-Riitta Järvelin, Leena Peltonen, Markus Perola, Nelson B Freimer, Mika Ala-Korpela, Aarno Palotie, Samuli Ripatti |
| Abstract |
Nuclear magnetic resonance assays allow for measurement of a wide range of metabolic phenotypes. We report here the results of a GWAS on 8,330 Finnish individuals genotyped and imputed at 7.7 million SNPs for a range of 216 serum metabolic phenotypes assessed by NMR of serum samples. We identified significant associations (P < 2.31 × 10(-10)) at 31 loci, including 11 for which there have not been previous reports of associations to a metabolic trait or disorder. Analyses of Finnish twin pairs suggested that the metabolic measures reported here show higher heritability than comparable conventional metabolic phenotypes. In accordance with our expectations, SNPs at the 31 loci associated with individual metabolites account for a greater proportion of the genetic component of trait variance (up to 40%) than is typically observed for conventional serum metabolic phenotypes. The identification of such associations may provide substantial insight into cardiometabolic disorders. |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 15% |
| Germany | 1 | 8% |
| India | 1 | 8% |
| Finland | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 7 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 46% |
| Scientists | 6 | 46% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 471 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 2% |
| Netherlands | 4 | <1% |
| United Kingdom | 3 | <1% |
| Denmark | 2 | <1% |
| Germany | 2 | <1% |
| Mexico | 1 | <1% |
| Belgium | 1 | <1% |
| Italy | 1 | <1% |
| Nigeria | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 443 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 117 | 25% |
| Researcher | 116 | 25% |
| Student > Master | 41 | 9% |
| Professor > Associate Professor | 30 | 6% |
| Student > Bachelor | 22 | 5% |
| Other | 80 | 17% |
| Unknown | 65 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 138 | 29% |
| Biochemistry, Genetics and Molecular Biology | 83 | 18% |
| Medicine and Dentistry | 76 | 16% |
| Computer Science | 12 | 3% |
| Chemistry | 12 | 3% |
| Other | 58 | 12% |
| Unknown | 92 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 15 May 2023.
All research outputs
#1,023,444
of 25,837,817 outputs
Outputs from Nature Genetics
#1,746
of 7,639 outputs
Outputs of similar age
#6,222
of 256,285 outputs
Outputs of similar age from Nature Genetics
#10
of 86 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has done well, scoring higher than 76% 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 256,285 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 97% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.