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Higgs and superparticle mass predictions from the landscape

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

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
5 X users
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
4 Mendeley
Title
Higgs and superparticle mass predictions from the landscape
Published in
Journal of High Energy Physics, March 2018
DOI 10.1007/jhep03(2018)002
Authors

Howard Baer, Vernon Barger, Hasan Serce, Kuver Sinha

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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Researcher 1 25%
Other 1 25%
Unknown 1 25%
Readers by discipline Count As %
Physics and Astronomy 3 75%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 January 2023.
All research outputs
#6,757,283
of 25,382,440 outputs
Outputs from Journal of High Energy Physics
#2,292
of 24,152 outputs
Outputs of similar age
#111,446
of 347,366 outputs
Outputs of similar age from Journal of High Energy Physics
#46
of 522 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 24,152 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 90% 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 347,366 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 67% of its contemporaries.
We're also able to compare this research output to 522 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.