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Probing stop pair production at the LHC with graph neural networks

Overview of attention for article published in Journal of High Energy Physics, August 2019
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About this Attention Score

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

Mentioned by

twitter
3 X users

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
11 Mendeley
Title
Probing stop pair production at the LHC with graph neural networks
Published in
Journal of High Energy Physics, August 2019
DOI 10.1007/jhep08(2019)055
Authors

Murat Abdughani, Jie Ren, Lei Wu, Jin Min Yang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 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 %
Other 2 18%
Student > Ph. D. Student 2 18%
Student > Doctoral Student 1 9%
Student > Bachelor 1 9%
Student > Postgraduate 1 9%
Other 0 0%
Unknown 4 36%
Readers by discipline Count As %
Physics and Astronomy 6 55%
Engineering 1 9%
Unknown 4 36%
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 01 August 2019.
All research outputs
#17,295,853
of 25,385,509 outputs
Outputs from Journal of High Energy Physics
#8,753
of 24,152 outputs
Outputs of similar age
#225,866
of 356,445 outputs
Outputs of similar age from Journal of High Energy Physics
#153
of 451 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,152 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 54% 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 356,445 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 451 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.