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Integrating the Local Property and Topological Structure in the Minimum Spanning Tree Brain Functional Network for Classification of Early Mild Cognitive Impairment

Overview of attention for article published in Frontiers in Neuroscience, October 2018
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1 X user

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21 Mendeley
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Title
Integrating the Local Property and Topological Structure in the Minimum Spanning Tree Brain Functional Network for Classification of Early Mild Cognitive Impairment
Published in
Frontiers in Neuroscience, October 2018
DOI 10.3389/fnins.2018.00701
Pubmed ID
Authors

Xiaohong Cui, Jie Xiang, Bin Wang, Jihai Xiao, Yan Niu, Junjie Chen

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

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 14%
Student > Ph. D. Student 2 10%
Professor 2 10%
Lecturer 1 5%
Student > Doctoral Student 1 5%
Other 2 10%
Unknown 10 48%
Readers by discipline Count As %
Computer Science 2 10%
Psychology 2 10%
Nursing and Health Professions 1 5%
Agricultural and Biological Sciences 1 5%
Chemical Engineering 1 5%
Other 3 14%
Unknown 11 52%
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 21 October 2018.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from Frontiers in Neuroscience
#10,138
of 11,542 outputs
Outputs of similar age
#313,112
of 357,774 outputs
Outputs of similar age from Frontiers in Neuroscience
#247
of 259 outputs
Altmetric has tracked 25,385,509 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 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. 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 357,774 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 259 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.