| Title |
Prediction of CYP2D6 phenotype from genotype across world populations
|
|---|---|
| Published in |
Genetics in Medicine, July 2016
|
| DOI | 10.1038/gim.2016.80 |
| Pubmed ID | |
| Authors |
Andrea Gaedigk, Katrin Sangkuhl, Michelle Whirl-Carrillo, Teri Klein, J. Steven Leeder |
X Demographics
The data shown below were collected from the profiles of 13 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 | 31% |
| Canada | 2 | 15% |
| Mexico | 1 | 8% |
| Japan | 1 | 8% |
| United Kingdom | 1 | 8% |
| Netherlands | 1 | 8% |
| Unknown | 3 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 3 | 23% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 384 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 384 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 63 | 16% |
| Student > Bachelor | 58 | 15% |
| Student > Ph. D. Student | 47 | 12% |
| Student > Master | 45 | 12% |
| Other | 26 | 7% |
| Other | 54 | 14% |
| Unknown | 91 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 88 | 23% |
| Pharmacology, Toxicology and Pharmaceutical Science | 61 | 16% |
| Medicine and Dentistry | 56 | 15% |
| Agricultural and Biological Sciences | 32 | 8% |
| Neuroscience | 9 | 2% |
| Other | 29 | 8% |
| Unknown | 109 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 02 June 2019.
All research outputs
#1,803,464
of 25,728,855 outputs
Outputs from Genetics in Medicine
#605
of 2,958 outputs
Outputs of similar age
#32,167
of 372,292 outputs
Outputs of similar age from Genetics in Medicine
#14
of 42 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one has done well, scoring higher than 79% 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 372,292 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 42 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 66% of its contemporaries.