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PySLHA: a Pythonic interface to SUSY Les Houches Accord data

Overview of attention for article published in The European Physical Journal C, October 2015
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
14 Mendeley
Title
PySLHA: a Pythonic interface to SUSY Les Houches Accord data
Published in
The European Physical Journal C, October 2015
DOI 10.1140/epjc/s10052-015-3638-8
Authors

Andy Buckley

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

Geographical breakdown

Country Count As %
United States 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 36%
Professor > Associate Professor 2 14%
Student > Doctoral Student 1 7%
Other 1 7%
Researcher 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Physics and Astronomy 10 71%
Unknown 4 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 September 2016.
All research outputs
#16,048,009
of 25,374,917 outputs
Outputs from The European Physical Journal C
#2,336
of 9,054 outputs
Outputs of similar age
#152,469
of 286,876 outputs
Outputs of similar age from The European Physical Journal C
#23
of 149 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,054 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 71% 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 286,876 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.