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Physics-based secular variation candidate models for the IGRF

Overview of attention for article published in Earth, Planets and Space, October 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
4 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
7 Mendeley
Title
Physics-based secular variation candidate models for the IGRF
Published in
Earth, Planets and Space, October 2021
DOI 10.1186/s40623-021-01507-z
Authors

Alexandre Fournier, Julien Aubert, Vincent Lesur, Erwan Thébault

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 14%
Student > Ph. D. Student 1 14%
Researcher 1 14%
Other 1 14%
Unknown 3 43%
Readers by discipline Count As %
Earth and Planetary Sciences 3 43%
Physics and Astronomy 1 14%
Unknown 3 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 29 January 2022.
All research outputs
#6,448,566
of 25,392,582 outputs
Outputs from Earth, Planets and Space
#287
of 1,472 outputs
Outputs of similar age
#121,865
of 441,790 outputs
Outputs of similar age from Earth, Planets and Space
#7
of 35 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,472 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 80% 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 441,790 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 72% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.