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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Navigating pleiotropy in precision medicine: pharmacogenes from trauma to behavioral health
|
|---|---|
| Published in |
Pharmacogenomics, March 2016
|
| DOI | 10.2217/pgs.16.6 |
| Pubmed ID | |
| Authors |
Vicki Oberg, Jerome Differding, Morgan Fisher, Lindsay Hines, Russell A Wilke |
| Abstract |
A strong emerging principle in the field of precision medicine is that variation in any one pharmacogene may impact clinical outcome for more than one drug. Variants tested in the acute care setting often have downstream implications for other drugs impacting chronic disease management. A flexible framework is needed as clinicians and scientists move toward deploying automated decision support for gene-based drug dosing in electronic medical records. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Student > Master | 4 | 17% |
| Other | 3 | 13% |
| Researcher | 3 | 13% |
| Student > Doctoral Student | 2 | 8% |
| Other | 3 | 13% |
| Unknown | 5 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 33% |
| Computer Science | 4 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Psychology | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 4 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 04 April 2016.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from Pharmacogenomics
#913
of 1,174 outputs
Outputs of similar age
#234,911
of 315,342 outputs
Outputs of similar age from Pharmacogenomics
#13
of 17 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,174 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 8th percentile – i.e., 8% 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 315,342 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.