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Alterations in White Matter Integrity in Young Adults with Smartphone Dependence

Overview of attention for article published in Frontiers in Human Neuroscience, November 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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11 news outlets
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17 X users
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1 Wikipedia page

Citations

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25 Dimensions

Readers on

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101 Mendeley
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Title
Alterations in White Matter Integrity in Young Adults with Smartphone Dependence
Published in
Frontiers in Human Neuroscience, November 2017
DOI 10.3389/fnhum.2017.00532
Pubmed ID
Authors

Yuanming Hu, Xiaojing Long, Hanqing Lyu, Yangyang Zhou, Jianxiang Chen

Abstract

Smartphone dependence (SPD) is increasingly regarded as a psychological problem, however, the underlying neural substrates of SPD is still not clear. High resolution magnetic resonance imaging provides a useful tool to help understand and manage the disorder. In this study, a tract-based spatial statistics (TBSS) analysis on diffusion tensor imaging (DTI) was used to measure white matter integrity in young adults with SPD. A total of 49 subjects were recruited and categorized into SPD and control group based on their clinical behavioral tests. To localize regions with abnormal white matter integrity in SPD, the voxel-wise analysis of fractional anisotropy (FA) and mean diffusivity (MD) on the whole brain was performed by TBSS. The correlation between the quantitative variables of brain structures and the behavior measures were performed. Our result demonstrated that SPD had significantly lower white matter integrity than controls in superior longitudinal fasciculus (SLF), superior corona radiata (SCR), internal capsule, external capsule, sagittal stratum, fornix/stria terminalis and midbrain structures. Correlation analysis showed that the observed abnormalities in internal capsule and stria terminalis were correlated with the severity of dependence and behavioral assessments. Our finding facilitated a primary understanding of white matter characteristics in SPD and indicated that the structural deficits might link to behavioral impairments.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 15%
Student > Bachelor 14 14%
Student > Ph. D. Student 12 12%
Student > Doctoral Student 8 8%
Other 6 6%
Other 14 14%
Unknown 32 32%
Readers by discipline Count As %
Psychology 23 23%
Medicine and Dentistry 14 14%
Computer Science 5 5%
Social Sciences 5 5%
Nursing and Health Professions 4 4%
Other 13 13%
Unknown 37 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 105. 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 25 August 2024.
All research outputs
#426,837
of 26,525,642 outputs
Outputs from Frontiers in Human Neuroscience
#178
of 7,851 outputs
Outputs of similar age
#8,611
of 345,416 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#4
of 149 outputs
Altmetric has tracked 26,525,642 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,851 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done particularly well, scoring higher than 97% 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 345,416 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 97% of its contemporaries.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.