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Analysis and prediction of polar motion using MSSA method

Overview of attention for article published in Earth Planets and Space, July 2021
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3 tweeters
Title
Analysis and prediction of polar motion using MSSA method
Published in
Earth Planets and Space, July 2021
DOI 10.1186/s40623-021-01477-2
Authors

Xin Jin, Xin Liu, Jinyun Guo, Yi Shen

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 28 July 2021.
All research outputs
#11,890,135
of 18,750,173 outputs
Outputs from Earth Planets and Space
#586
of 906 outputs
Outputs of similar age
#139,234
of 267,694 outputs
Outputs of similar age from Earth Planets and Space
#1
of 1 outputs
Altmetric has tracked 18,750,173 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 906 research outputs from this source. They receive a mean Attention Score of 4.6. 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 267,694 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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