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Brain Network Analysis and Classification Based on Convolutional Neural Network

Overview of attention for article published in Frontiers in Computational Neuroscience, December 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users
facebook
1 Facebook page

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
57 Mendeley
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Title
Brain Network Analysis and Classification Based on Convolutional Neural Network
Published in
Frontiers in Computational Neuroscience, December 2018
DOI 10.3389/fncom.2018.00095
Pubmed ID
Authors

Lu Meng, Jing Xiang

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 18%
Student > Master 9 16%
Researcher 8 14%
Student > Doctoral Student 5 9%
Other 2 4%
Other 3 5%
Unknown 20 35%
Readers by discipline Count As %
Neuroscience 13 23%
Engineering 7 12%
Computer Science 6 11%
Agricultural and Biological Sciences 2 4%
Psychology 2 4%
Other 6 11%
Unknown 21 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 January 2019.
All research outputs
#16,226,418
of 26,086,865 outputs
Outputs from Frontiers in Computational Neuroscience
#689
of 1,482 outputs
Outputs of similar age
#249,687
of 448,892 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#11
of 24 outputs
Altmetric has tracked 26,086,865 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,482 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 448,892 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
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 is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.