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Harmonization of Multicenter Cortical Thickness Data by Linear Mixed Effect Model

Overview of attention for article published in Frontiers in Aging Neuroscience, June 2022
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1 X user

Citations

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1 Dimensions

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15 Mendeley
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Title
Harmonization of Multicenter Cortical Thickness Data by Linear Mixed Effect Model
Published in
Frontiers in Aging Neuroscience, June 2022
DOI 10.3389/fnagi.2022.869387
Pubmed ID
Authors

SeungWook Kim, Sung-Woo Kim, Young Noh, Phil Hyu Lee, Duk L. Na, Sang Won Seo, Joon-Kyung Seong

X Demographics

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Student > Master 2 13%
Lecturer 2 13%
Student > Bachelor 1 7%
Unknown 6 40%
Readers by discipline Count As %
Computer Science 3 20%
Engineering 2 13%
Medicine and Dentistry 2 13%
Chemical Engineering 1 7%
Unknown 7 47%
Attention Score in Context

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 05 July 2022.
All research outputs
#20,262,276
of 22,792,160 outputs
Outputs from Frontiers in Aging Neuroscience
#4,286
of 4,765 outputs
Outputs of similar age
#352,952
of 440,078 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#302
of 365 outputs
Altmetric has tracked 22,792,160 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 4,765 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. 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 440,078 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 365 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.