| Title |
Projecting the performance of risk prediction based on polygenic analyses of genome-wide association studies
|
|---|---|
| Published in |
Nature Genetics, March 2013
|
| DOI | 10.1038/ng.2579 |
| Pubmed ID | |
| Authors |
Nilanjan Chatterjee, Bill Wheeler, Joshua Sampson, Patricia Hartge, Stephen J Chanock, Ju-Hyun Park |
X Demographics
The data shown below were collected from the profiles of 20 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 | 9 | 45% |
| Australia | 2 | 10% |
| Netherlands | 1 | 5% |
| Germany | 1 | 5% |
| United Kingdom | 1 | 5% |
| Unknown | 6 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 50% |
| Scientists | 10 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 382 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 | 2 | <1% |
| Canada | 2 | <1% |
| Netherlands | 1 | <1% |
| Mexico | 1 | <1% |
| Switzerland | 1 | <1% |
| Spain | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 363 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 106 | 28% |
| Student > Ph. D. Student | 101 | 26% |
| Student > Master | 33 | 9% |
| Professor > Associate Professor | 22 | 6% |
| Student > Postgraduate | 17 | 4% |
| Other | 54 | 14% |
| Unknown | 49 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 98 | 26% |
| Biochemistry, Genetics and Molecular Biology | 65 | 17% |
| Medicine and Dentistry | 60 | 16% |
| Computer Science | 26 | 7% |
| Psychology | 17 | 4% |
| Other | 55 | 14% |
| Unknown | 61 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 23 March 2022.
All research outputs
#2,416,316
of 25,837,817 outputs
Outputs from Nature Genetics
#2,976
of 7,639 outputs
Outputs of similar age
#19,194
of 210,405 outputs
Outputs of similar age from Nature Genetics
#46
of 81 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 90th 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 60% 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 210,405 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 90% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.