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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome partitioning of genetic variation for complex traits using common SNPs
|
|---|---|
| Published in |
Nature Genetics, May 2011
|
| DOI | 10.1038/ng.823 |
| Pubmed ID | |
| Authors |
Jian Yang, Teri A Manolio, Louis R Pasquale, Eric Boerwinkle, Neil Caporaso, Julie M Cunningham, Mariza de Andrade, Bjarke Feenstra, Eleanor Feingold, M Geoffrey Hayes, William G Hill, Maria Teresa Landi, Alvaro Alonso, Guillaume Lettre, Peng Lin, Hua Ling, William Lowe, Rasika A Mathias, Mads Melbye, Elizabeth Pugh, Marilyn C Cornelis, Bruce S Weir, Michael E Goddard, Peter M Visscher |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 3 | 50% |
| United States | 2 | 33% |
| New Zealand | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 939 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 26 | 3% |
| United Kingdom | 7 | <1% |
| New Zealand | 5 | <1% |
| Brazil | 4 | <1% |
| Australia | 4 | <1% |
| Hungary | 3 | <1% |
| Germany | 3 | <1% |
| France | 2 | <1% |
| Switzerland | 2 | <1% |
| Other | 22 | 2% |
| Unknown | 861 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 256 | 27% |
| Student > Ph. D. Student | 236 | 25% |
| Student > Master | 88 | 9% |
| Professor | 55 | 6% |
| Student > Bachelor | 52 | 6% |
| Other | 166 | 18% |
| Unknown | 86 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 446 | 47% |
| Biochemistry, Genetics and Molecular Biology | 128 | 14% |
| Medicine and Dentistry | 84 | 9% |
| Psychology | 32 | 3% |
| Computer Science | 28 | 3% |
| Other | 108 | 12% |
| Unknown | 113 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 03 August 2016.
All research outputs
#2,152,033
of 25,837,817 outputs
Outputs from Nature Genetics
#2,803
of 7,639 outputs
Outputs of similar age
#9,402
of 123,714 outputs
Outputs of similar age from Nature Genetics
#17
of 55 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has gotten more attention than average, scoring higher than 63% 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 123,714 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 92% of its contemporaries.
We're also able to compare this research output to 55 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 69% of its contemporaries.