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Resonant di-Higgs production at gravitational wave benchmarks: a collider study using machine learning

Overview of attention for article published in Journal of High Energy Physics, December 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
2 Mendeley
Title
Resonant di-Higgs production at gravitational wave benchmarks: a collider study using machine learning
Published in
Journal of High Energy Physics, December 2018
DOI 10.1007/jhep12(2018)070
Authors

Alexandre Alves, Tathagata Ghosh, Huai-Ke Guo, Kuver Sinha

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
Researcher 1 50%
Unspecified 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Physics and Astronomy 1 50%

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 31 August 2018.
All research outputs
#6,607,134
of 12,801,553 outputs
Outputs from Journal of High Energy Physics
#1,782
of 11,971 outputs
Outputs of similar age
#112,533
of 272,303 outputs
Outputs of similar age from Journal of High Energy Physics
#93
of 554 outputs
Altmetric has tracked 12,801,553 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,971 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 84% 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 272,303 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.
We're also able to compare this research output to 554 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.