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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genetic parts to a preventive medicine whole
|
|---|---|
| Published in |
Genome Medicine, June 2013
|
| DOI | 10.1186/gm458 |
| Pubmed ID | |
| Authors |
Nicholas J Schork |
| Abstract |
Integration of clinical evaluations and whole-genome sequence data from eight individuals in a recent study demonstrates that genetic and clinical information can be combined and applied to preventive medicine. Statistical and graphical tools were developed to assess and visualize the genetic risk of common chronic conditions and to show the changes in disease risk that result from monitoring clinical symptoms over time. This approach provides a direction to consider in the adoption of genetic information in health care, but, like all provocative scientific articles, it raises as many questions as it answers. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 27% |
| United States | 3 | 27% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 45% |
| Science communicators (journalists, bloggers, editors) | 2 | 18% |
| Members of the public | 2 | 18% |
| Practitioners (doctors, other healthcare professionals) | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 6% |
| United States | 1 | 6% |
| Unknown | 15 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 29% |
| Researcher | 3 | 18% |
| Student > Postgraduate | 2 | 12% |
| Student > Ph. D. Student | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 41% |
| Agricultural and Biological Sciences | 5 | 29% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Unknown | 4 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 07 July 2014.
All research outputs
#2,614,164
of 25,418,993 outputs
Outputs from Genome Medicine
#600
of 1,587 outputs
Outputs of similar age
#21,864
of 208,912 outputs
Outputs of similar age from Genome Medicine
#11
of 25 outputs
Altmetric has tracked 25,418,993 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,587 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has gotten more attention than average, scoring higher than 62% 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 208,912 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 25 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 60% of its contemporaries.