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Voxel-based meta-analysis of grey matter changes in Alzheimer’s disease

Overview of attention for article published in Translational Neurodegeneration, March 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

news
2 news outlets

Citations

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96 Dimensions

Readers on

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128 Mendeley
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Title
Voxel-based meta-analysis of grey matter changes in Alzheimer’s disease
Published in
Translational Neurodegeneration, March 2015
DOI 10.1186/s40035-015-0027-z
Pubmed ID
Authors

Wen-Ying Wang, Jin-Tai Yu, Yong Liu, Rui-Hua Yin, Hui-Fu Wang, Jun Wang, Lin Tan, Joaquim Radua, Lan Tan

Abstract

Voxel-based morphometry (VBM) using structural brain MRI has been widely used for the assessment of impairment in Alzheimer's disease (AD), but previous studies in VBM studies on AD remain inconsistent. We conducted meta-analyses to integrate the reported studies to determine the consistent grey matter alterations in AD based on VBM method. The PubMed, ISI Web of Science, EMBASE and Medline database were searched for articles between 1995 and June 2014. Manual searches were also conducted, and authors of studies were contacted for additional data. Coordinates were extracted from clusters with significant grey matter difference between AD patients and healthy controls (HC). Meta-analysis was performed using a new improved voxel-based meta-analytic method, Effect Size Signed Differential Mapping (ES-SDM). Thirty data-sets comprising 960 subjects with AD and 1195 HC met inclusion criteria. Grey matter volume (GMV) reduction at 334 coordinates in AD and no GMV increase were found in the current meta-analysis. Significant reductions in GMV were robustly localized in the limbic regions (left parahippocampl gyrus and left posterior cingulate gyrus). In addition, there were GM decreases in right fusiform gyrus and right superior frontal gyrus. The findings remain largely unchanged in the jackknife sensitivity analyses. Our meta-analysis clearly identified GMV atrophy in AD. These findings confirm that the most prominent and replicable structural abnormalities in AD are in the limbic regions and contributes to the understanding of pathophysiology underlying AD.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Netherlands 1 <1%
Unknown 126 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 15%
Student > Ph. D. Student 16 13%
Researcher 14 11%
Student > Doctoral Student 10 8%
Student > Bachelor 9 7%
Other 23 18%
Unknown 37 29%
Readers by discipline Count As %
Medicine and Dentistry 24 19%
Psychology 22 17%
Neuroscience 20 16%
Engineering 6 5%
Computer Science 4 3%
Other 10 8%
Unknown 42 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 09 March 2023.
All research outputs
#2,485,392
of 25,373,627 outputs
Outputs from Translational Neurodegeneration
#92
of 384 outputs
Outputs of similar age
#31,147
of 277,996 outputs
Outputs of similar age from Translational Neurodegeneration
#2
of 5 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 384 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.7. This one has done well, scoring higher than 75% 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 277,996 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 88% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.