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Person- and People-Centered Integrated Health Care for Alcohol Dependence – Whether It Is Real in the Present Moment

Overview of attention for article published in Frontiers in Public Health, November 2016
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Title
Person- and People-Centered Integrated Health Care for Alcohol Dependence – Whether It Is Real in the Present Moment
Published in
Frontiers in Public Health, November 2016
DOI 10.3389/fpubh.2016.00264
Pubmed ID
Authors

Mirjana Jovanovic, Marko Antunovic

Abstract

Alcohol continues to occupy a leading position in Europe as a popular substance of abuse. According to WHO sources together with cigarette smoking and obesity, alcohol is a major cause of preventable diseases. Harmful use of alcohol is one of the main factors contributing to premature deaths and disability and has a major impact on public health. The consequences of alcohol use on human health are enormous. Additionally, alcohol use can have harmful effects that do not directly affect person who consumes alcohol (e.g., fetal alcohol syndrome violations that are related to alcohol use, etc.). It is well known that the harmful effects and consequences of alcohol use (e.g., acute and chronic illness, injuries in fights, at the workplace, in traffic, violent behavior, and death) create a great burden for the economic development of society. Persons who have been diagnosed with alcoholism and currently drinking have a less chance to achieve a life insurance cover. On the contrary, recovering alcoholic with a significant abstinent period can get a good life insurance quote. The abstinence of a year or 2 is usually enough for a person to get an average price of life insurance. Furthermore, new consequent relapses could also be considered as potential aggravating factor to accomplish this kind of financial benefits. So far, the research (and interventions) focused on the effects on the population level, such as the increase in taxes, advertising bans, and the implementation of laws that prevent the use of alcohol in traffic. However, it seems that the problem may be viewed at the individual level. The models of the treatment should be designed according to the needs of the individual. These models should incorporate not only the reduction of alcohol intake but also the path to abstinence. The plan should take into account the different (individual) needs for treatment, with regard to the degree of alcohol dependence and health status and also include the needs of the family, community, and broader society.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 18%
Student > Ph. D. Student 6 18%
Student > Master 5 15%
Researcher 2 6%
Librarian 1 3%
Other 1 3%
Unknown 12 36%
Readers by discipline Count As %
Medicine and Dentistry 5 15%
Nursing and Health Professions 4 12%
Psychology 3 9%
Economics, Econometrics and Finance 2 6%
Social Sciences 2 6%
Other 4 12%
Unknown 13 39%
Attention Score in Context

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 29 November 2016.
All research outputs
#18,483,671
of 22,903,988 outputs
Outputs from Frontiers in Public Health
#5,779
of 10,060 outputs
Outputs of similar age
#304,685
of 416,538 outputs
Outputs of similar age from Frontiers in Public Health
#54
of 71 outputs
Altmetric has tracked 22,903,988 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 10,060 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one is in the 24th percentile – i.e., 24% 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 416,538 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 71 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.