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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Statistical Power to Detect Genetic (Co)Variance of Complex Traits Using SNP Data in Unrelated Samples
|
|---|---|
| Published in |
PLoS Genetics, April 2014
|
| DOI | 10.1371/journal.pgen.1004269 |
| Pubmed ID | |
| Authors |
Peter M. Visscher, Gibran Hemani, Anna A. E. Vinkhuyzen, Guo-Bo Chen, Sang Hong Lee, Naomi R. Wray, Michael E. Goddard, Jian Yang |
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 | 3 | 23% |
| United Kingdom | 2 | 15% |
| India | 1 | 8% |
| Turkey | 1 | 8% |
| Australia | 1 | 8% |
| Germany | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 54% |
| Scientists | 5 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 342 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 2% |
| United Kingdom | 4 | 1% |
| Netherlands | 1 | <1% |
| Sweden | 1 | <1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| Portugal | 1 | <1% |
| New Zealand | 1 | <1% |
| Poland | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 325 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 98 | 29% |
| Researcher | 88 | 26% |
| Student > Master | 26 | 8% |
| Student > Doctoral Student | 17 | 5% |
| Other | 17 | 5% |
| Other | 49 | 14% |
| Unknown | 47 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 114 | 33% |
| Biochemistry, Genetics and Molecular Biology | 52 | 15% |
| Medicine and Dentistry | 23 | 7% |
| Psychology | 21 | 6% |
| Computer Science | 13 | 4% |
| Other | 58 | 17% |
| Unknown | 61 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 April 2018.
All research outputs
#4,762,671
of 26,017,215 outputs
Outputs from PLoS Genetics
#3,621
of 9,039 outputs
Outputs of similar age
#44,416
of 245,575 outputs
Outputs of similar age from PLoS Genetics
#77
of 194 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.9. This one has gotten more attention than average, scoring higher than 59% 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 245,575 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 81% of its contemporaries.
We're also able to compare this research output to 194 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.