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Effective and Accurate Diagnosis of Subjective Cognitive Decline Based on Functional Connection and Graph Theory View

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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
52 Mendeley
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Title
Effective and Accurate Diagnosis of Subjective Cognitive Decline Based on Functional Connection and Graph Theory View
Published in
Frontiers in Neuroscience, September 2020
DOI 10.3389/fnins.2020.577887
Pubmed ID
Authors

Xiaowen Xu, Weikai Li, Mengling Tao, Zhongfeng Xie, Xin Gao, Ling Yue, Peijun Wang

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

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 15%
Student > Master 3 6%
Researcher 2 4%
Student > Bachelor 2 4%
Student > Doctoral Student 2 4%
Other 7 13%
Unknown 28 54%
Readers by discipline Count As %
Neuroscience 6 12%
Psychology 5 10%
Medicine and Dentistry 5 10%
Computer Science 2 4%
Agricultural and Biological Sciences 1 2%
Other 5 10%
Unknown 28 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 11 October 2020.
All research outputs
#3,712,649
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#3,191
of 11,543 outputs
Outputs of similar age
#92,739
of 432,829 outputs
Outputs of similar age from Frontiers in Neuroscience
#262
of 324 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 70% 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 432,829 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 78% of its contemporaries.
We're also able to compare this research output to 324 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.