↓ Skip to main content

Early Prediction of Epilepsy after Encephalitis in Childhood Based on EEG and Clinical Features

Overview of attention for article published in Emergency Medicine International, July 2023
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 254)
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

news
2 news outlets

Readers on

mendeley
2 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
Early Prediction of Epilepsy after Encephalitis in Childhood Based on EEG and Clinical Features
Published in
Emergency Medicine International, July 2023
DOI 10.1155/2023/8862598
Pubmed ID
Authors

Xiaojuan Sun, Jinhua Zhao, Chunyun Guo, Xiaoxiao Zhu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 50%
Unknown 1 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 28 July 2023.
All research outputs
#2,487,934
of 25,394,764 outputs
Outputs from Emergency Medicine International
#26
of 254 outputs
Outputs of similar age
#43,869
of 364,227 outputs
Outputs of similar age from Emergency Medicine International
#1
of 3 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 89% 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 364,227 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 87% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them