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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

patent
3 patents
wikipedia
6 Wikipedia pages

Readers on

mendeley
159 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
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Article details
Title
Meta-Analysis of Genome-Wide Scans for Human Adult Stature Identifies Novel Loci and Associations with Measures of Skeletal Frame Size
Published in
PLoS Genetics, April 2009
DOI 10.1371/journal.pgen.1000445
Pubmed ID
Authors
Abstract

Recent genome-wide (GW) scans have identified several independent loci affecting human stature, but their contribution through the different skeletal components of height is still poorly understood. We carried out a genome-wide scan in 12,611 participants, followed by replication in an additional 7,187 individuals, and identified 17 genomic regions with GW-significant association with height. Of these, two are entirely novel (rs11809207 in CATSPER4, combined P-value = 6.1x10(-8) and rs910316 in TMED10, P-value = 1.4x10(-7)) and two had previously been described with weak statistical support (rs10472828 in NPR3, P-value = 3x10(-7) and rs849141 in JAZF1, P-value = 3.2x10(-11)). One locus (rs1182188 at GNA12) identifies the first height eQTL. We also assessed the contribution of height loci to the upper- (trunk) and lower-body (hip axis and femur) skeletal components of height. We find evidence for several loci associated with trunk length (including rs6570507 in GPR126, P-value = 4x10(-5) and rs6817306 in LCORL, P-value = 4x10(-4)), hip axis length (including rs6830062 at LCORL, P-value = 4.8x10(-4) and rs4911494 at UQCC, P-value = 1.9x10(-4)), and femur length (including rs710841 at PRKG2, P-value = 2.4x10(-5) and rs10946808 at HIST1H1D, P-value = 6.4x10(-6)). Finally, we used conditional analyses to explore a possible differential contribution of the height loci to these different skeletal size measurements. In addition to validating four novel loci controlling adult stature, our study represents the first effort to assess the contribution of genetic loci to three skeletal components of height. Further statistical tests in larger numbers of individuals will be required to verify if the height loci affect height preferentially through these subcomponents of height.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 5 3%
Canada 3 2%
Uruguay 2 1%
United States 2 1%
Germany 2 1%
South Africa 1 <1%
Croatia 1 <1%
Switzerland 1 <1%
Unknown 142 89%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 36 23%
Student > Ph. D. Student 35 22%
Professor > Associate Professor 15 9%
Student > Master 13 8%
Student > Bachelor 10 6%
Other 28 18%
Unknown 22 14%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 66 42%
Biochemistry, Genetics and Molecular Biology 29 18%
Medicine and Dentistry 23 14%
Social Sciences 4 3%
Physics and Astronomy 3 2%
Other 11 7%
Unknown 23 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 01 October 2022.
All research outputs
#3,711,906
of 33,849,731 outputs
Outputs from PLoS Genetics
#2,518
of 9,795 outputs
Outputs of similar age
#13,242
of 147,082 outputs
Outputs of similar age from PLoS Genetics
#17
of 70 outputs
Altmetric has tracked 33,849,731 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,795 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. This one has gotten more attention than average, scoring higher than 73% 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 147,082 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 89% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.