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Geodetic Time Series Analysis in Earth Sciences

Overview of attention for book
Attention for Chapter 4: Introduction to Dynamic Linear Models for Time Series Analysis
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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 (64th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
68 Mendeley
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Chapter title
Introduction to Dynamic Linear Models for Time Series Analysis
Chapter number 4
Book title
Geodetic Time Series Analysis in Earth Sciences
Published in
arXiv, August 2019
DOI 10.1007/978-3-030-21718-1_4
Book ISBNs
978-3-03-021717-4, 978-3-03-021718-1
Authors

Marko Laine, Laine, Marko

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 29%
Researcher 9 13%
Student > Bachelor 5 7%
Student > Master 4 6%
Student > Doctoral Student 1 1%
Other 5 7%
Unknown 24 35%
Readers by discipline Count As %
Mathematics 10 15%
Agricultural and Biological Sciences 5 7%
Computer Science 5 7%
Economics, Econometrics and Finance 4 6%
Business, Management and Accounting 3 4%
Other 14 21%
Unknown 27 40%
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 14 July 2022.
All research outputs
#16,363,465
of 26,017,215 outputs
Outputs from arXiv
#244,330
of 938,014 outputs
Outputs of similar age
#199,638
of 357,117 outputs
Outputs of similar age from arXiv
#6,559
of 20,273 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 938,014 research outputs from this source. They receive a mean Attention Score of 4.3. 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 357,117 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20,273 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 64% of its contemporaries.