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Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques

Overview of attention for article published in Journal of Instrumentation, April 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
11 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
Published in
Journal of Instrumentation, April 2020
DOI 10.1088/1748-0221/15/06/p06005
Authors

CMS Collaboration

Twitter Demographics

The data shown below were collected from the profiles of 11 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 35%
Student > Ph. D. Student 3 18%
Student > Postgraduate 2 12%
Professor 1 6%
Lecturer 1 6%
Other 2 12%
Unknown 2 12%
Readers by discipline Count As %
Physics and Astronomy 9 53%
Business, Management and Accounting 1 6%
Mathematics 1 6%
Engineering 1 6%
Unknown 5 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 27 October 2020.
All research outputs
#2,853,048
of 17,520,458 outputs
Outputs from Journal of Instrumentation
#73
of 1,270 outputs
Outputs of similar age
#67,364
of 283,247 outputs
Outputs of similar age from Journal of Instrumentation
#5
of 15 outputs
Altmetric has tracked 17,520,458 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,270 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done particularly well, scoring higher than 94% 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 283,247 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 15 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 66% of its contemporaries.