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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 |
Functional Connectivity Abnormalities of Brain Regions with Structural Deficits in Young Adult Male Smokers
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, October 2016
|
| DOI | 10.3389/fnhum.2016.00494 |
| Pubmed ID | |
| Authors |
Limei Bu, Dahua Yu, Shaoping Su, Yao Ma, Karen M. von Deneen, Lin Luo, Jinquan Zhai, Bo Liu, Jiadong Cheng, Yanyan Guan, Yangding Li, Yanzhi Bi, Ting Xue, Xiaoqi Lu, Kai Yuan |
| Abstract |
Smoking is one of the most prevalent dependence disorders. Previous studies have detected structural and functional deficits in smokers. However, few studies focused on the changes of resting state functional connectivity (RSFC) of the brain regions with structural deficits in young adult smokers. Twenty-six young adult smokers and 26 well-matched healthy non-smokers participated in our study. Voxel-based morphometry (VBM) and RSFC were employed to investigate the structural and functional changes in young adult smokers. Compared with healthy non-smokers, young smokers showed increased gray matter (GM) volume in the left putamen and decreased GM volume in the left anterior cingulate cortex (ACC). Moreover, GM volume in the left ACC has a negative correlation trend with pack-years and GM volume in the left putamen was positively correlated with pack-years. The left ACC and putamen with abnormal volumes were chosen as the regions of interest (ROIs) for the RSFC analysis. We found that smokers showed increased RSFC between the left ACC and right amygdala and between the left putamen and right anterior insula. We revealed structural and functional deficits within the frontostriatal circuits in young smokers, which may shed new insights into the neural mechanisms of smoking. |
X Demographics
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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 14% |
| Student > Ph. D. Student | 3 | 14% |
| Student > Master | 3 | 14% |
| Student > Doctoral Student | 1 | 5% |
| Researcher | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 9 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 5 | 23% |
| Psychology | 4 | 18% |
| Mathematics | 2 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Unknown | 10 | 45% |
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 04 October 2016.
All research outputs
#20,344,065
of 22,890,496 outputs
Outputs from Frontiers in Human Neuroscience
#6,551
of 7,173 outputs
Outputs of similar age
#276,841
of 319,862 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#149
of 162 outputs
Altmetric has tracked 22,890,496 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 7,173 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 1st percentile – i.e., 1% 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 319,862 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 162 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.