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 |
Quantitative neurobiological evidence for accelerated brain aging in alcohol dependence
|
|---|---|
| Published in |
Translational Psychiatry, December 2017
|
| DOI | 10.1038/s41398-017-0037-y |
| Pubmed ID | |
| Authors |
Matthias Guggenmos, Katharina Schmack, Maria Sekutowicz, Maria Garbusow, Miriam Sebold, Christian Sommer, Michael N. Smolka, Hans-Ulrich Wittchen, Ulrich S. Zimmermann, Andreas Heinz, Philipp Sterzer |
| Abstract |
The premature aging hypothesis of alcohol dependence proposes that the neurobiological and behavioural deficits in individuals with alcohol dependence are analogous to those of chronological aging. However, to date no systematic neurobiological evidence for this hypothesis has been provided. To test the hypothesis, 119 alcohol-dependent subjects and 97 age- and gender-matched healthy control subjects underwent structural MRI. Whole-brain grey matter volume maps were computed from structural MRI scans using voxel-based morphometry and parcelled into a comprehensive set of anatomical brain regions. Regional grey matter volume averages served as the basis for cross-regional similarity analyses and a brain age model. We found a striking correspondence between regional patterns of alcohol- and age-related grey matter loss across 110 brain regions. The brain age model revealed that the brain age of age-matched AD subjects was increased by up to 11.7 years. Interestingly, while no brain aging was detected in the youngest AD subjects (20-30 years), we found that alcohol-related brain aging systematically increased in the following age decades controlling for lifetime alcohol consumption and general health status. Together, these results provide strong evidence for an accelerated aging model of AD and indicate an elevated risk of alcohol-related brain aging in elderly individuals. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 16% |
| Researcher | 10 | 11% |
| Student > Bachelor | 10 | 11% |
| Student > Master | 10 | 11% |
| Professor > Associate Professor | 7 | 8% |
| Other | 14 | 16% |
| Unknown | 24 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 16 | 18% |
| Neuroscience | 14 | 16% |
| Medicine and Dentistry | 7 | 8% |
| Computer Science | 4 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 12 | 13% |
| Unknown | 33 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 24 July 2022.
All research outputs
#1,583,540
of 22,950,943 outputs
Outputs from Translational Psychiatry
#621
of 3,236 outputs
Outputs of similar age
#38,796
of 439,481 outputs
Outputs of similar age from Translational Psychiatry
#15
of 70 outputs
Altmetric has tracked 22,950,943 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,236 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.7. This one has done well, scoring higher than 80% 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 439,481 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.