| Title |
Exploring the role of drug-metabolising enzymes in antidepressant side effects
|
|---|---|
| Published in |
Psychopharmacology, March 2015
|
| DOI | 10.1007/s00213-015-3898-x |
| Pubmed ID | |
| Authors |
Karen Hodgson, Katherine E. Tansey, Rudolf Uher, Mojca Zvezdana Dernovšek, Ole Mors, Joanna Hauser, Daniel Souery, Wolfgang Maier, Neven Henigsberg, Marcella Rietschel, Anna Placentino, Ian W. Craig, Katherine J. Aitchison, Anne E. Farmer, Richard J. B. Dobson, Peter McGuffin |
| Abstract |
Cytochrome P450 enzymes are important in the metabolism of antidepressants. The highly polymorphic nature of these enzymes has been linked to variability in antidepressant metabolism rates, leading to hope regarding the use of P450 genotyping to guide treatment. However, evidence that P450 genotypic differences underlie the variation in treatment outcomes is inconclusive. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Unknown | 66 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 19% |
| Student > Master | 11 | 16% |
| Researcher | 7 | 10% |
| Student > Ph. D. Student | 6 | 9% |
| Other | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 15 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 22% |
| Pharmacology, Toxicology and Pharmaceutical Science | 10 | 15% |
| Agricultural and Biological Sciences | 8 | 12% |
| Biochemistry, Genetics and Molecular Biology | 7 | 10% |
| Psychology | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 18 | 27% |
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 21 July 2015.
All research outputs
#18,402,666
of 22,794,367 outputs
Outputs from Psychopharmacology
#4,638
of 5,346 outputs
Outputs of similar age
#188,700
of 259,041 outputs
Outputs of similar age from Psychopharmacology
#27
of 38 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,346 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.