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Mendeley readers
Attention Score in Context
| Title |
Patient-controlled encrypted genomic data: an approach to advance clinical genomics
|
|---|---|
| Published in |
BMC Medical Genomics, July 2012
|
| DOI | 10.1186/1755-8794-5-31 |
| Pubmed ID | |
| Authors |
Yannis J Trakadis |
| Abstract |
The revolution in DNA sequencing technologies over the past decade has made it feasible to sequence an individual's whole genome at a relatively low cost. The potential value of the information generated by genomic technologies for medicine and society is enormous. However, in order for exome sequencing, and eventually whole genome sequencing, to be implemented clinically, a number of major challenges need to be overcome. For instance, obtaining meaningful informed-consent, managing incidental findings and the great volume of data generated (including multiple findings with uncertain clinical significance), re-interpreting the genomic data and providing additional counselling to patients as genetic knowledge evolves are issues that need to be addressed. It appears that medical genetics is shifting from the present "phenotype-first" medical model to a "data-first" model which leads to multiple complexities. |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Sweden | 1 | 2% |
| United Kingdom | 1 | 2% |
| Canada | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 39 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 34% |
| Student > Master | 8 | 18% |
| Student > Ph. D. Student | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Other | 3 | 7% |
| Other | 9 | 20% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 32% |
| Agricultural and Biological Sciences | 12 | 27% |
| Computer Science | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Social Sciences | 2 | 5% |
| Other | 5 | 11% |
| Unknown | 5 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 15 April 2015.
All research outputs
#4,365,614
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#281
of 2,444 outputs
Outputs of similar age
#28,974
of 177,941 outputs
Outputs of similar age from BMC Medical Genomics
#5
of 37 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 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 88% 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 177,941 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 83% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.