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Maximizing boosted top identification by minimizing N-subjettiness

Overview of attention for article published in Journal of High Energy Physics, February 2012
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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2 X users

Citations

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301 Dimensions

Readers on

mendeley
34 Mendeley
Title
Maximizing boosted top identification by minimizing N-subjettiness
Published in
Journal of High Energy Physics, February 2012
DOI 10.1007/jhep02(2012)093
Authors

Jesse Thaler, Ken Van Tilburg

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
Unknown 32 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 44%
Researcher 7 21%
Student > Bachelor 2 6%
Other 2 6%
Professor > Associate Professor 2 6%
Other 4 12%
Unknown 2 6%
Readers by discipline Count As %
Physics and Astronomy 27 79%
Business, Management and Accounting 1 3%
Psychology 1 3%
Computer Science 1 3%
Unknown 4 12%
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 16 August 2011.
All research outputs
#17,700,438
of 25,837,817 outputs
Outputs from Journal of High Energy Physics
#10,391
of 24,637 outputs
Outputs of similar age
#115,776
of 171,363 outputs
Outputs of similar age from Journal of High Energy Physics
#58
of 176 outputs
Altmetric has tracked 25,837,817 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 24,637 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 50% 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 171,363 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 176 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 52% of its contemporaries.