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Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis

Overview of attention for article published in Frontiers in Neuroscience, June 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 (71st percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
91 Dimensions

Readers on

mendeley
105 Mendeley
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Title
Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis
Published in
Frontiers in Neuroscience, June 2020
DOI 10.3389/fnins.2020.00630
Pubmed ID
Authors

Byung-Hoon Kim, Jong Chul Ye

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 105 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 17%
Researcher 14 13%
Student > Ph. D. Student 14 13%
Student > Bachelor 8 8%
Student > Doctoral Student 3 3%
Other 8 8%
Unknown 40 38%
Readers by discipline Count As %
Computer Science 28 27%
Engineering 10 10%
Neuroscience 6 6%
Mathematics 3 3%
Psychology 2 2%
Other 12 11%
Unknown 44 42%
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 30 June 2020.
All research outputs
#5,106,097
of 26,388,722 outputs
Outputs from Frontiers in Neuroscience
#3,811
of 11,831 outputs
Outputs of similar age
#118,924
of 436,477 outputs
Outputs of similar age from Frontiers in Neuroscience
#350
of 389 outputs
Altmetric has tracked 26,388,722 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,831 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has gotten more attention than average, scoring higher than 65% 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 436,477 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 389 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.