↓ Skip to main content

Regional Brain Fusion: Graph Convolutional Network for Alzheimer's Disease Prediction and Analysis

Overview of attention for article published in Frontiers in Neuroinformatics, April 2022
Altmetric Badge

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 (77th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
17 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Regional Brain Fusion: Graph Convolutional Network for Alzheimer's Disease Prediction and Analysis
Published in
Frontiers in Neuroinformatics, April 2022
DOI 10.3389/fninf.2022.886365
Pubmed ID
Authors

Wenchao Li, Jiaqi Zhao, Chenyu Shen, Jingwen Zhang, Ji Hu, Mang Xiao, Jiyong Zhang, Minghan Chen

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 12%
Student > Ph. D. Student 2 12%
Student > Master 2 12%
Librarian 1 6%
Other 1 6%
Other 4 24%
Unknown 5 29%
Readers by discipline Count As %
Computer Science 6 35%
Engineering 2 12%
Unspecified 1 6%
Chemical Engineering 1 6%
Social Sciences 1 6%
Other 1 6%
Unknown 5 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 20 May 2022.
All research outputs
#4,291,863
of 23,312,088 outputs
Outputs from Frontiers in Neuroinformatics
#228
of 764 outputs
Outputs of similar age
#95,647
of 442,617 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#4
of 24 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 764 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 68% 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 442,617 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 77% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.