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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Explaining additional genetic variation in complex traits
|
|---|---|
| Published in |
Trends in Genetics, March 2014
|
| DOI | 10.1016/j.tig.2014.02.003 |
| Pubmed ID | |
| Authors |
Matthew R. Robinson, Naomi R. Wray, Peter M. Visscher |
X Demographics
The data shown below were collected from the profiles of 34 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 | 7 | 21% |
| United Kingdom | 4 | 12% |
| Australia | 4 | 12% |
| Ireland | 2 | 6% |
| Germany | 1 | 3% |
| Unknown | 16 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 44% |
| Scientists | 14 | 41% |
| Practitioners (doctors, other healthcare professionals) | 4 | 12% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 337 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 3% |
| United Kingdom | 4 | 1% |
| Spain | 4 | 1% |
| Brazil | 4 | 1% |
| Germany | 2 | <1% |
| Austria | 2 | <1% |
| Sweden | 2 | <1% |
| Canada | 2 | <1% |
| Finland | 1 | <1% |
| Other | 4 | 1% |
| Unknown | 302 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 94 | 28% |
| Student > Ph. D. Student | 76 | 23% |
| Student > Master | 29 | 9% |
| Professor > Associate Professor | 26 | 8% |
| Professor | 20 | 6% |
| Other | 60 | 18% |
| Unknown | 32 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 149 | 44% |
| Biochemistry, Genetics and Molecular Biology | 59 | 18% |
| Medicine and Dentistry | 37 | 11% |
| Psychology | 12 | 4% |
| Computer Science | 8 | 2% |
| Other | 29 | 9% |
| Unknown | 43 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 11 October 2014.
All research outputs
#2,005,437
of 26,017,215 outputs
Outputs from Trends in Genetics
#309
of 2,382 outputs
Outputs of similar age
#19,670
of 239,365 outputs
Outputs of similar age from Trends in Genetics
#2
of 10 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 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,382 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has done well, scoring higher than 86% 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 239,365 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 91% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.