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Recognition of Cognitive Impairment in Adult Moyamoya Disease: A Classifier Based on High-Order Resting-State Functional Connectivity Network

Overview of attention for article published in Frontiers in Neural Circuits, December 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 (82nd percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Recognition of Cognitive Impairment in Adult Moyamoya Disease: A Classifier Based on High-Order Resting-State Functional Connectivity Network
Published in
Frontiers in Neural Circuits, December 2020
DOI 10.3389/fncir.2020.603208
Pubmed ID
Authors

Yu Lei, Xi Chen, Jia-Bin Su, Xin Zhang, Heng Yang, Xin-Jie Gao, Wei Ni, Liang Chen, Jin-Hua Yu, Yu-Xiang Gu, Ying Mao

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 19%
Student > Doctoral Student 2 13%
Student > Ph. D. Student 2 13%
Student > Bachelor 1 6%
Unknown 8 50%
Readers by discipline Count As %
Medicine and Dentistry 3 19%
Computer Science 1 6%
Neuroscience 1 6%
Psychology 1 6%
Unknown 10 63%
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 04 January 2021.
All research outputs
#3,145,686
of 23,270,775 outputs
Outputs from Frontiers in Neural Circuits
#181
of 1,229 outputs
Outputs of similar age
#87,386
of 503,797 outputs
Outputs of similar age from Frontiers in Neural Circuits
#15
of 21 outputs
Altmetric has tracked 23,270,775 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 1,229 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 84% 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 503,797 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 82% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.