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Determinant characteristics in EEG signal based on bursts amplitude segmentation for predicting pathological outcomes of a premature newborn, with validation using ANN

Overview of attention for article published in Analog Integrated Circuits and Signal Processing, February 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

peer_reviews
1 peer review site

Readers on

mendeley
11 Mendeley
Title
Determinant characteristics in EEG signal based on bursts amplitude segmentation for predicting pathological outcomes of a premature newborn, with validation using ANN
Published in
Analog Integrated Circuits and Signal Processing, February 2018
DOI 10.1007/s10470-018-1129-1
Authors

Yasser Al Hajjar, Abd El Salam Al Hajjar, Bassam Daya, Pierre Chauvet

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Student > Doctoral Student 2 18%
Student > Postgraduate 1 9%
Student > Ph. D. Student 1 9%
Unknown 5 45%
Readers by discipline Count As %
Engineering 2 18%
Physics and Astronomy 1 9%
Computer Science 1 9%
Neuroscience 1 9%
Social Sciences 1 9%
Other 0 0%
Unknown 5 45%
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 April 2018.
All research outputs
#16,069,695
of 23,849,058 outputs
Outputs from Analog Integrated Circuits and Signal Processing
#314
of 367 outputs
Outputs of similar age
#213,915
of 332,481 outputs
Outputs of similar age from Analog Integrated Circuits and Signal Processing
#3
of 10 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 367 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 11th percentile – i.e., 11% 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 332,481 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.