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Application of Convolutional Recurrent Neural Network for Individual Recognition Based on Resting State fMRI Data

Overview of attention for article published in Frontiers in Neuroscience, May 2019
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1 X user

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48 Mendeley
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Title
Application of Convolutional Recurrent Neural Network for Individual Recognition Based on Resting State fMRI Data
Published in
Frontiers in Neuroscience, May 2019
DOI 10.3389/fnins.2019.00434
Pubmed ID
Authors

Lebo Wang, Kaiming Li, Xu Chen, Xiaoping P. Hu

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

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 23%
Student > Master 5 10%
Student > Postgraduate 3 6%
Student > Doctoral Student 2 4%
Student > Bachelor 2 4%
Other 6 13%
Unknown 19 40%
Readers by discipline Count As %
Neuroscience 11 23%
Engineering 6 13%
Computer Science 4 8%
Psychology 3 6%
Physics and Astronomy 2 4%
Other 2 4%
Unknown 20 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 May 2019.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from Frontiers in Neuroscience
#10,138
of 11,543 outputs
Outputs of similar age
#315,599
of 363,254 outputs
Outputs of similar age from Frontiers in Neuroscience
#290
of 325 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% 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 363,254 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 325 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.