| Title |
How accurate can genetic predictions be?
|
|---|---|
| Published in |
BMC Genomics, July 2012
|
| DOI | 10.1186/1471-2164-13-340 |
| Pubmed ID | |
| Authors |
Jonathan M Dreyfuss, Daniel Levner, James E Galagan, George M Church, Marco F Ramoni |
| Abstract |
Pre-symptomatic prediction of disease and drug response based on genetic testing is a critical component of personalized medicine. Previous work has demonstrated that the predictive capacity of genetic testing is constrained by the heritability and prevalence of the tested trait, although these constraints have only been approximated under the assumption of a normally distributed genetic risk distribution. |
X Demographics
The data shown below were collected from the profiles of 17 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 | 8 | 47% |
| United Kingdom | 2 | 12% |
| Spain | 1 | 6% |
| Austria | 1 | 6% |
| Unknown | 5 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 53% |
| Scientists | 7 | 41% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 6% |
| Australia | 2 | 3% |
| Netherlands | 1 | 2% |
| France | 1 | 2% |
| Germany | 1 | 2% |
| Hong Kong | 1 | 2% |
| Argentina | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 54 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 30% |
| Student > Ph. D. Student | 10 | 15% |
| Student > Postgraduate | 6 | 9% |
| Professor > Associate Professor | 5 | 8% |
| Student > Bachelor | 5 | 8% |
| Other | 15 | 23% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 44% |
| Medicine and Dentistry | 11 | 17% |
| Biochemistry, Genetics and Molecular Biology | 6 | 9% |
| Computer Science | 5 | 8% |
| Psychology | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 7 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 2021.
All research outputs
#2,839,861
of 25,374,647 outputs
Outputs from BMC Genomics
#857
of 11,244 outputs
Outputs of similar age
#18,389
of 178,828 outputs
Outputs of similar age from BMC Genomics
#13
of 171 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 92% 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 178,828 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 89% of its contemporaries.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.