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Radar detection with the Neyman–Pearson criterion using supervised-learning-machines trained with the cross-entropy error

Overview of attention for article published in EURASIP Journal on Advances in Signal Processing, March 2013
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About this Attention Score

  • Among the highest-scoring outputs from this source (#24 of 119)

Mentioned by

facebook
1 Facebook page

Readers on

mendeley
7 Mendeley
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Title
Radar detection with the Neyman–Pearson criterion using supervised-learning-machines trained with the cross-entropy error
Published in
EURASIP Journal on Advances in Signal Processing, March 2013
DOI 10.1186/1687-6180-2013-44
Authors

María-Pilar Jarabo-Amores, David de la Mata-Moya, Roberto Gil-Pita, Manuel Rosa-Zurera

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 14%
France 1 14%
Unknown 5 71%

Demographic breakdown

Readers by professional status Count As %
Other 1 14%
Student > Bachelor 1 14%
Student > Ph. D. Student 1 14%
Researcher 1 14%
Student > Postgraduate 1 14%
Other 0 0%
Unknown 2 29%
Readers by discipline Count As %
Engineering 3 43%
Computer Science 1 14%
Arts and Humanities 1 14%
Unknown 2 29%

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 09 March 2013.
All research outputs
#2,900,320
of 3,629,728 outputs
Outputs from EURASIP Journal on Advances in Signal Processing
#24
of 119 outputs
Outputs of similar age
#65,819
of 85,855 outputs
Outputs of similar age from EURASIP Journal on Advances in Signal Processing
#1
of 1 outputs
Altmetric has tracked 3,629,728 research outputs across all sources so far. This one is in the 2nd percentile – i.e., 2% of other outputs scored the same or lower than it.
So far Altmetric has tracked 119 research outputs from this source. They receive a mean Attention Score of 0.7. 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 85,855 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 1 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