↓ Skip to main content

The performance evaluation of the state-of-the-art EEG-based seizure prediction models

Overview of attention for article published in Frontiers in Neurology, November 2022
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
17 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
The performance evaluation of the state-of-the-art EEG-based seizure prediction models
Published in
Frontiers in Neurology, November 2022
DOI 10.3389/fneur.2022.1016224
Pubmed ID
Authors

Zhe Ren, Xiong Han, Bin Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 12%
Professor 1 6%
Professor > Associate Professor 1 6%
Student > Ph. D. Student 1 6%
Unknown 12 71%
Readers by discipline Count As %
Engineering 2 12%
Nursing and Health Professions 1 6%
Medicine and Dentistry 1 6%
Agricultural and Biological Sciences 1 6%
Unknown 12 71%
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 30 November 2022.
All research outputs
#19,206,083
of 23,801,276 outputs
Outputs from Frontiers in Neurology
#8,233
of 12,728 outputs
Outputs of similar age
#319,946
of 461,207 outputs
Outputs of similar age from Frontiers in Neurology
#373
of 649 outputs
Altmetric has tracked 23,801,276 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,728 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 25th percentile – i.e., 25% 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 461,207 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 649 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.