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Mendeley readers
Attention Score in Context
| Title |
Obtaining the Optimal Dose in Alcohol Dependence Studies
|
|---|---|
| Published in |
Frontiers in Psychiatry, January 2012
|
| DOI | 10.3389/fpsyt.2012.00100 |
| Pubmed ID | |
| Authors |
Nolan A. Wages, Lei Liu, John O’Quigley, Bankole A. Johnson |
| Abstract |
In alcohol dependence studies, the treatment effect at different dose levels remains to be ascertained. Establishing this effect would aid us in identifying the best dose that has satisfactory efficacy while minimizing the rate of adverse events. We advocate the use of dose-finding methodology that has been successfully implemented in the cancer and HIV settings to identify the optimal dose in a cost-effective way. Specifically, we describe the continual reassessment method (CRM), an adaptive design proposed for cancer trials to reconcile the needs of dose-finding experiments with the ethical demands of established medical practice. We are applying adaptive designs for identifying the optimal dose of medications for the first time in the context of pharmacotherapy research in alcoholism. We provide an example of a topiramate trial as an illustration of how adaptive designs can be used to locate the optimal dose in alcohol treatment trials. It is believed that the introduction of adaptive design methods will enable the development of medications for the treatment of alcohol dependence to be accelerated. |
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 % |
|---|---|---|
| Switzerland | 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 9% |
| Unknown | 10 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 36% |
| Student > Doctoral Student | 2 | 18% |
| Other | 2 | 18% |
| Student > Master | 2 | 18% |
| Professor | 1 | 9% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 3 | 27% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 9% |
| Mathematics | 1 | 9% |
| Agricultural and Biological Sciences | 1 | 9% |
| Arts and Humanities | 1 | 9% |
| Other | 4 | 36% |
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 22 November 2012.
All research outputs
#20,174,175
of 22,687,320 outputs
Outputs from Frontiers in Psychiatry
#7,601
of 9,795 outputs
Outputs of similar age
#221,211
of 244,125 outputs
Outputs of similar age from Frontiers in Psychiatry
#79
of 90 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,795 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.