↓ Skip to main content

The Risk Factors of the Alcohol Use Disorders—Through Review of Its Comorbidities

Overview of attention for article published in Frontiers in Neuroscience, May 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
1 news outlet
twitter
4 X users

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
158 Mendeley
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.
Title
The Risk Factors of the Alcohol Use Disorders—Through Review of Its Comorbidities
Published in
Frontiers in Neuroscience, May 2018
DOI 10.3389/fnins.2018.00303
Pubmed ID
Authors

Ping Yang, Rui Tao, Chengsen He, Shen Liu, Ying Wang, Xiaochu Zhang

Abstract

Alcohol use disorders (AUDs) represent a severe, world-wide problem, and are usually comorbid with psychiatric disorders, comorbidity increases the risks associated with AUDs, and results in more serious consequences for patients. However, currently the underlying mechanisms of comorbid psychiatric disorders in AUDs are not clear. Studies investigating comorbidity could help us understand the neural mechanisms of AUDs. In this review, we explore three comorbidities in AUDs, including schizophrenia, major depressive disorder (MDD), and personality disorders (PDs). They are all co-morbidities of AUDs with rate of 33.7, 28, and 50-70%, respectively. The rate is significantly higher than other diseases. Therefore we review and analyze relevant literature to explore whether these three diseases are the risk factors of AUDs, focusing on studies assessing cognitive function and those using neural imaging. We found that memory deficits, impairment of cognitive control, negative emotion, and impulsivity may increase an individual's vulnerability to AUDs. This comorbidity may indicate the neural basis of AUDs and reveal characteristics associated with different types of comorbidity, leading to further development of new treatment approaches for AUDs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 158 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 24 15%
Student > Master 18 11%
Student > Ph. D. Student 13 8%
Researcher 10 6%
Student > Doctoral Student 6 4%
Other 24 15%
Unknown 63 40%
Readers by discipline Count As %
Medicine and Dentistry 28 18%
Psychology 27 17%
Nursing and Health Professions 7 4%
Neuroscience 6 4%
Biochemistry, Genetics and Molecular Biology 4 3%
Other 19 12%
Unknown 67 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 August 2022.
All research outputs
#3,284,238
of 25,728,350 outputs
Outputs from Frontiers in Neuroscience
#2,355
of 11,687 outputs
Outputs of similar age
#62,719
of 340,352 outputs
Outputs of similar age from Frontiers in Neuroscience
#58
of 237 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,687 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. 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 340,352 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 81% of its contemporaries.
We're also able to compare this research output to 237 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.