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Signal mixture estimation for degenerate heavy Higgses using a deep neural network

Overview of attention for article published in The European Physical Journal C, December 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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Citations

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Readers on

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5 Mendeley
Title
Signal mixture estimation for degenerate heavy Higgses using a deep neural network
Published in
The European Physical Journal C, December 2018
DOI 10.1140/epjc/s10052-018-6455-z
Authors

Anders Kvellestad, Steffen Maeland, Inga Strümke

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 60%
Professor > Associate Professor 1 20%
Student > Master 1 20%
Readers by discipline Count As %
Physics and Astronomy 2 40%
Computer Science 1 20%
Engineering 1 20%
Unknown 1 20%
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 13 June 2018.
All research outputs
#14,608,799
of 25,385,509 outputs
Outputs from The European Physical Journal C
#1,700
of 9,054 outputs
Outputs of similar age
#219,373
of 444,767 outputs
Outputs of similar age from The European Physical Journal C
#30
of 185 outputs
Altmetric has tracked 25,385,509 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 9,054 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 80% 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 444,767 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 185 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.