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Dark matter hurricane: Measuring the S1 stream with dark matter detectors

Overview of attention for article published in arXiv, November 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
49 news outlets
blogs
12 blogs
twitter
63 tweeters
facebook
4 Facebook pages
googleplus
3 Google+ users
video
5 video uploaders

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
41 Mendeley
Title
Dark matter hurricane: Measuring the S1 stream with dark matter detectors
Published in
arXiv, November 2018
DOI 10.1103/physrevd.98.103006
Authors

Ciaran A. J. O’Hare, Christopher McCabe, N. Wyn Evans, GyuChul Myeong, Vasily Belokurov

Twitter Demographics

The data shown below were collected from the profiles of 63 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 24%
Student > Ph. D. Student 8 20%
Student > Master 7 17%
Professor > Associate Professor 6 15%
Student > Doctoral Student 4 10%
Other 6 15%
Readers by discipline Count As %
Physics and Astronomy 31 76%
Unspecified 5 12%
Psychology 1 2%
Earth and Planetary Sciences 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 2 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 500. 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 18 December 2018.
All research outputs
#16,415
of 13,496,975 outputs
Outputs from arXiv
#187
of 525,649 outputs
Outputs of similar age
#811
of 268,365 outputs
Outputs of similar age from arXiv
#14
of 26,959 outputs
Altmetric has tracked 13,496,975 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 525,649 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 99% 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 268,365 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 26,959 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 99% of its contemporaries.