You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimation and Partition of Heritability in Human Populations Using Whole-Genome Analysis Methods
|
|---|---|
| Published in |
Annual Review of Genetics, August 2013
|
| DOI | 10.1146/annurev-genet-111212-133258 |
| Pubmed ID | |
| Authors |
Anna A.E. Vinkhuyzen, Naomi R. Wray, Jian Yang, Michael E. Goddard, Peter M. Visscher |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 307 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 1% |
| Australia | 2 | <1% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| Switzerland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Denmark | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 4 | 1% |
| Unknown | 290 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 77 | 25% |
| Researcher | 73 | 24% |
| Student > Master | 27 | 9% |
| Student > Bachelor | 20 | 7% |
| Student > Doctoral Student | 18 | 6% |
| Other | 48 | 16% |
| Unknown | 44 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 113 | 37% |
| Biochemistry, Genetics and Molecular Biology | 58 | 19% |
| Medicine and Dentistry | 28 | 9% |
| Psychology | 20 | 7% |
| Computer Science | 9 | 3% |
| Other | 26 | 8% |
| Unknown | 53 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 19 February 2024.
All research outputs
#4,978,221
of 26,017,215 outputs
Outputs from Annual Review of Genetics
#299
of 801 outputs
Outputs of similar age
#40,181
of 214,722 outputs
Outputs of similar age from Annual Review of Genetics
#10
of 13 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 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 801 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 61% 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 214,722 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 79% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.