You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Personalized Medicine of Alcohol Addiction: Pharmacogenomics and Beyond.
|
|---|---|
| Published in |
Current Pharmaceutical Biotechnology, January 2017
|
| DOI | 10.2174/1389201018666170224105025 |
| Pubmed ID | |
| Authors |
Georgia Ragia, Vangelis G Manolopoulos |
| Abstract |
Alcohol addiction or alcoholism is the most severe form of problem drinking. A variety of treatment methods for alcoholism are currently available that combine medications, behavioral treatment and peer support. The drugs that are currently approved by the U.S. Food and Drug Administration (FDA) for treatment of alcohol dependence are disulfiram, naltrexone and acamprosate. For many patients, however, these treatments are not effective. Evidence from a number of different studies suggests that different factors, both psychosocial and economic, as well as genetic variation, are significant contributors to interindividual variation both of clinical presentation of alcohol problems and response to a given treatment. The aim of the present review is to summarize and discuss different aspects of personalized medicine of alcohol addiction. We focus on pharmacogenomics and beyond, to include the genetics and epigenetics of alcohol addiction as well as other psychosocial and even economic factors that may affect response to alcohol addiction pharmacotherapy. It is anticipated that, within the next 5-10 years, personalized medicine of alcohol addiction will be a reality and it will help reduce the burden of alcoholism from society and increase the well-being and productivity of individuals addicted to alcohol. |
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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 21% |
| Researcher | 9 | 16% |
| Student > Master | 6 | 11% |
| Student > Doctoral Student | 5 | 9% |
| Student > Ph. D. Student | 5 | 9% |
| Other | 7 | 12% |
| Unknown | 13 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 21% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Psychology | 7 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 11% |
| Social Sciences | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 14 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 01 January 2019.
All research outputs
#2,760,973
of 25,382,440 outputs
Outputs from Current Pharmaceutical Biotechnology
#62
of 995 outputs
Outputs of similar age
#53,349
of 421,709 outputs
Outputs of similar age from Current Pharmaceutical Biotechnology
#3
of 42 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 995 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 93% 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 421,709 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 87% 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 done particularly well, scoring higher than 92% of its contemporaries.