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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Translating pharmacogenomics discoveries into the clinic: an implementation framework
|
|---|---|
| Published in |
Genome Medicine, October 2013
|
| DOI | 10.1186/gm497 |
| Pubmed ID | |
| Authors |
R Stephanie Huang, Eric R Gamazon |
| Abstract |
The implementation of pharmacogenomics-guided care has the potential to improve clinical outcomes; however, the adoption of pharmacogenomics into clinical practice remains slow. This is partly due to the lack of a standardized framework for translating key findings into diagnostic tests. A recent study describes a comprehensive system developed by the Coriell Personalized Medicine Collaborative for facilitating the translation of genomic findings into clinical practice, and its application for seven commonly prescribed drugs.See related Research paper, http://genomemedicine.com/content/5/10/93. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 4 | 80% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 9% |
| Peru | 1 | 4% |
| Unknown | 20 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 35% |
| Student > Bachelor | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Postgraduate | 2 | 9% |
| Librarian | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 26% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 17% |
| Computer Science | 3 | 13% |
| Agricultural and Biological Sciences | 3 | 13% |
| Linguistics | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 3 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 08 November 2013.
All research outputs
#8,185,927
of 25,373,627 outputs
Outputs from Genome Medicine
#1,230
of 1,585 outputs
Outputs of similar age
#72,769
of 224,557 outputs
Outputs of similar age from Genome Medicine
#16
of 21 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 224,557 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.