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Using ultra-low frequency waves and their characteristics to diagnose key physics of substorm onset

Overview of attention for article published in Geoscience Letters, October 2017
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11 Mendeley
Title
Using ultra-low frequency waves and their characteristics to diagnose key physics of substorm onset
Published in
Geoscience Letters, October 2017
DOI 10.1186/s40562-017-0089-0
Pubmed ID
Authors

I. J. Rae, K. R. Murphy, Clare E. J. Watt, Ian R. Mann, Zhonghua Yao, Nadine M. E. Kalmoni, Colin Forsyth, David K. Milling

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 %
Researcher 4 36%
Student > Ph. D. Student 3 27%
Student > Bachelor 1 9%
Lecturer 1 9%
Student > Postgraduate 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Physics and Astronomy 6 55%
Environmental Science 2 18%
Mathematics 1 9%
Engineering 1 9%
Unknown 1 9%
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 17 November 2017.
All research outputs
#20,451,991
of 23,007,887 outputs
Outputs from Geoscience Letters
#184
of 192 outputs
Outputs of similar age
#285,604
of 327,753 outputs
Outputs of similar age from Geoscience Letters
#1
of 2 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 192 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 327,753 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them