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Classification of Magnetosheath Jets Using Neural Networks and High Resolution OMNI (HRO) Data

Overview of attention for article published in Frontiers in Astronomy and Space Sciences, June 2020
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2 X users

Citations

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11 Mendeley
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Title
Classification of Magnetosheath Jets Using Neural Networks and High Resolution OMNI (HRO) Data
Published in
Frontiers in Astronomy and Space Sciences, June 2020
DOI 10.3389/fspas.2020.00024
Authors

Savvas Raptis, Sigiava Aminalragia-Giamini, Tomas Karlsson, Martin Lindberg

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 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 %
Student > Ph. D. Student 5 45%
Other 2 18%
Researcher 2 18%
Unspecified 1 9%
Student > Bachelor 1 9%
Other 0 0%
Readers by discipline Count As %
Physics and Astronomy 6 55%
Computer Science 2 18%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Earth and Planetary Sciences 1 9%
Unspecified 1 9%
Other 0 0%
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 07 June 2020.
All research outputs
#18,065,967
of 23,213,531 outputs
Outputs from Frontiers in Astronomy and Space Sciences
#574
of 1,076 outputs
Outputs of similar age
#284,054
of 398,014 outputs
Outputs of similar age from Frontiers in Astronomy and Space Sciences
#21
of 26 outputs
Altmetric has tracked 23,213,531 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,076 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 32nd percentile – i.e., 32% 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 398,014 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.