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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Commentary on ‘Common SNPs Explain a Large Proportion of the Heritability for Human Height’ by Yang et al. (2010)
|
|---|---|
| Published in |
Twin Research & Human Genetics, February 2012
|
| DOI | 10.1375/twin.13.6.517 |
| Pubmed ID | |
| Authors |
Peter M. Visscher, Jian Yang, Michael E. Goddard |
| Abstract |
Recently a paper authored by ourselves and a number of co-authors about the proportion of phenotypic variation in height that is explained by common SNPs was published in Nature Genetics (Yang et al., 2010). Common SNPs explain a large proportion of the heritability for human height (Yang et al.). During the refereeing process (the paper was rejected by two other journals before publication in Nature Genetics) and following the publication of Yang et al. (2010) it became clear to us that the methodology we applied, the interpretation of the results and the consequences of the findings on the genetic architecture of human height and that for other traits such as complex disease are not well understood or appreciated. Here we explain some of these issues in a style that is different from the primary publication, that is, in the form of a number of comments and questions and answers. We also report a number of additional results that show that the estimates of additive genetic variation are not driven by population structure. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
| Ireland | 1 | 10% |
| Germany | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 4 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 438 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 4% |
| United Kingdom | 4 | <1% |
| Netherlands | 2 | <1% |
| Australia | 2 | <1% |
| Canada | 2 | <1% |
| France | 1 | <1% |
| Norway | 1 | <1% |
| Germany | 1 | <1% |
| New Zealand | 1 | <1% |
| Other | 5 | 1% |
| Unknown | 403 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 113 | 26% |
| Student > Ph. D. Student | 107 | 24% |
| Student > Master | 39 | 9% |
| Professor | 32 | 7% |
| Professor > Associate Professor | 27 | 6% |
| Other | 78 | 18% |
| Unknown | 42 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 173 | 39% |
| Biochemistry, Genetics and Molecular Biology | 59 | 13% |
| Medicine and Dentistry | 40 | 9% |
| Psychology | 22 | 5% |
| Computer Science | 17 | 4% |
| Other | 70 | 16% |
| Unknown | 57 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 12 March 2024.
All research outputs
#1,525,564
of 26,017,215 outputs
Outputs from Twin Research & Human Genetics
#46
of 876 outputs
Outputs of similar age
#7,934
of 173,267 outputs
Outputs of similar age from Twin Research & Human Genetics
#22
of 250 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 876 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 89% 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 173,267 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 94% of its contemporaries.
We're also able to compare this research output to 250 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.