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Aberrant brain functional networks in type 2 diabetes mellitus: A graph theoretical and support-vector machine approach

Overview of attention for article published in Frontiers in Human Neuroscience, October 2022
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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9 Mendeley
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Title
Aberrant brain functional networks in type 2 diabetes mellitus: A graph theoretical and support-vector machine approach
Published in
Frontiers in Human Neuroscience, October 2022
DOI 10.3389/fnhum.2022.974094
Pubmed ID
Authors

Lin Lin, Jindi Zhang, Yutong Liu, Xinyu Hao, Jing Shen, Yang Yu, Huashuai Xu, Fengyu Cong, Huanjie Li, Jianlin Wu

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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 22%
Student > Ph. D. Student 1 11%
Professor 1 11%
Unknown 5 56%
Readers by discipline Count As %
Psychology 2 22%
Nursing and Health Professions 1 11%
Neuroscience 1 11%
Unknown 5 56%
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 17 November 2022.
All research outputs
#20,556,243
of 23,130,383 outputs
Outputs from Frontiers in Human Neuroscience
#6,585
of 7,227 outputs
Outputs of similar age
#349,541
of 439,831 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#132
of 160 outputs
Altmetric has tracked 23,130,383 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 7,227 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 439,831 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 160 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.