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Incorporating Physical Knowledge Into Machine Learning for Planetary Space Physics

Overview of attention for article published in Frontiers in Astronomy and Space Sciences, July 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
7 X users

Readers on

mendeley
28 Mendeley
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Title
Incorporating Physical Knowledge Into Machine Learning for Planetary Space Physics
Published in
Frontiers in Astronomy and Space Sciences, July 2020
DOI 10.3389/fspas.2020.00036
Pubmed ID
Authors

Abigail R. Azari, Jeffrey W. Lockhart, Michael W. Liemohn, Xianzhe Jia

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 36%
Researcher 3 11%
Lecturer 2 7%
Student > Bachelor 2 7%
Other 1 4%
Other 3 11%
Unknown 7 25%
Readers by discipline Count As %
Physics and Astronomy 10 36%
Earth and Planetary Sciences 3 11%
Environmental Science 1 4%
Computer Science 1 4%
Unspecified 1 4%
Other 3 11%
Unknown 9 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 November 2020.
All research outputs
#14,611,205
of 25,387,668 outputs
Outputs from Frontiers in Astronomy and Space Sciences
#400
of 1,368 outputs
Outputs of similar age
#210,698
of 429,934 outputs
Outputs of similar age from Frontiers in Astronomy and Space Sciences
#13
of 30 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,368 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has gotten more attention than average, scoring higher than 70% 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 429,934 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.