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Group Similarity Constraint Functional Brain Network Estimation for Mild Cognitive Impairment Classification

Overview of attention for article published in Frontiers in Neuroscience, March 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

news
1 news outlet
twitter
3 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Group Similarity Constraint Functional Brain Network Estimation for Mild Cognitive Impairment Classification
Published in
Frontiers in Neuroscience, March 2020
DOI 10.3389/fnins.2020.00165
Pubmed ID
Authors

Xin Gao, Xiaowen Xu, Xuyun Hua, Peijun Wang, Weikai Li, Rui Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Student > Master 3 17%
Student > Bachelor 2 11%
Professor 1 6%
Student > Doctoral Student 1 6%
Other 0 0%
Unknown 7 39%
Readers by discipline Count As %
Engineering 2 11%
Psychology 2 11%
Nursing and Health Professions 1 6%
Agricultural and Biological Sciences 1 6%
Computer Science 1 6%
Other 2 11%
Unknown 9 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 03 April 2020.
All research outputs
#3,554,268
of 26,557,909 outputs
Outputs from Frontiers in Neuroscience
#2,626
of 11,938 outputs
Outputs of similar age
#76,424
of 392,287 outputs
Outputs of similar age from Frontiers in Neuroscience
#122
of 335 outputs
Altmetric has tracked 26,557,909 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,938 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 76% 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 392,287 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 80% of its contemporaries.
We're also able to compare this research output to 335 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.