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Early Prediction of Refractory Epilepsy in Children Under Artificial Intelligence Neural Network

Overview of attention for article published in Frontiers in Neurorobotics, June 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
6 X users
reddit
2 Redditors

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Early Prediction of Refractory Epilepsy in Children Under Artificial Intelligence Neural Network
Published in
Frontiers in Neurorobotics, June 2021
DOI 10.3389/fnbot.2021.690220
Pubmed ID
Authors

Yueyan Huang, Qingfeng Li, Qian Yang, Zhijing Huang, Hongbo Gao, Yunan Xu, Lianghua Liao

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 9%
Student > Ph. D. Student 3 9%
Student > Postgraduate 2 6%
Unspecified 1 3%
Researcher 1 3%
Other 3 9%
Unknown 21 62%
Readers by discipline Count As %
Computer Science 3 9%
Engineering 2 6%
Unspecified 1 3%
Sports and Recreations 1 3%
Agricultural and Biological Sciences 1 3%
Other 2 6%
Unknown 24 71%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 December 2021.
All research outputs
#14,529,108
of 25,270,999 outputs
Outputs from Frontiers in Neurorobotics
#251
of 1,026 outputs
Outputs of similar age
#196,147
of 439,475 outputs
Outputs of similar age from Frontiers in Neurorobotics
#12
of 45 outputs
Altmetric has tracked 25,270,999 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,026 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 74% 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 439,475 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 54% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.