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Statistical Decomposition and Machine Learning to Clean In Situ Spaceflight Magnetic Field Measurements

Overview of attention for article published in Geophysical Research Letters, June 2023
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2 X users

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9 Mendeley
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Article details
Title
Statistical Decomposition and Machine Learning to Clean In Situ Spaceflight Magnetic Field Measurements
Published in
Geophysical Research Letters, June 2023
DOI 10.1029/2023gl103626
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 1 11%
Professor > Associate Professor 1 11%
Researcher 1 11%
Student > Master 1 11%
Unknown 5 56%
Readers by discipline
Readers by discipline Count As %
Earth and Planetary Sciences 2 22%
Environmental Science 1 11%
Mathematics 1 11%
Unknown 5 56%
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 05 July 2023.
All research outputs
#16,143,878
of 24,557,820 outputs
Outputs from Geophysical Research Letters
#14,154
of 20,711 outputs
Outputs of similar age
#186,319
of 350,779 outputs
Outputs of similar age from Geophysical Research Letters
#241
of 384 outputs
Altmetric has tracked 24,557,820 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,711 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.2. This one is in the 29th percentile – i.e., 29% 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 350,779 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 384 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.