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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prospects for using risk scores in polygenic medicine
|
|---|---|
| Published in |
Genome Medicine, November 2017
|
| DOI | 10.1186/s13073-017-0489-y |
| Pubmed ID | |
| Authors |
Cathryn M. Lewis, Evangelos Vassos |
| Abstract |
Genome-wide association studies have made strides in identifying common variation associated with disease. The modest effect sizes preclude risk prediction based on single genetic variants, but polygenic risk scores that combine thousands of variants show some predictive ability across a range of complex traits and diseases, including neuropsychiatric disorders. Here, we consider the potential for translation to clinical use. |
X Demographics
The data shown below were collected from the profiles of 41 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 | 11 | 27% |
| United States | 9 | 22% |
| Canada | 2 | 5% |
| Netherlands | 2 | 5% |
| Norway | 1 | 2% |
| Comoros | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 14 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 49% |
| Scientists | 19 | 46% |
| Practitioners (doctors, other healthcare professionals) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 226 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 17% |
| Student > Master | 38 | 17% |
| Researcher | 34 | 15% |
| Student > Bachelor | 21 | 9% |
| Student > Doctoral Student | 14 | 6% |
| Other | 31 | 14% |
| Unknown | 50 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 45 | 20% |
| Medicine and Dentistry | 34 | 15% |
| Agricultural and Biological Sciences | 30 | 13% |
| Psychology | 12 | 5% |
| Neuroscience | 12 | 5% |
| Other | 31 | 14% |
| Unknown | 62 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 16 July 2023.
All research outputs
#970,090
of 25,158,951 outputs
Outputs from Genome Medicine
#190
of 1,553 outputs
Outputs of similar age
#19,725
of 332,828 outputs
Outputs of similar age from Genome Medicine
#7
of 33 outputs
Altmetric has tracked 25,158,951 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,553 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has done well, scoring higher than 87% 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 332,828 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 94% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.