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Using wavelet tools to analyse seasonal variations from InSAR time-series data: a case study of the Huangtupo landslide

Overview of attention for article published in Landslides, June 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
5 X users
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
103 Dimensions

Readers on

mendeley
92 Mendeley
Title
Using wavelet tools to analyse seasonal variations from InSAR time-series data: a case study of the Huangtupo landslide
Published in
Landslides, June 2015
DOI 10.1007/s10346-015-0589-y
Authors

R. Tomás, Z. Li, J. M. Lopez-Sanchez, P. Liu, A. Singleton

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 1%
Unknown 91 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 27%
Student > Master 11 12%
Researcher 5 5%
Student > Postgraduate 5 5%
Professor 5 5%
Other 17 18%
Unknown 24 26%
Readers by discipline Count As %
Earth and Planetary Sciences 27 29%
Engineering 13 14%
Environmental Science 7 8%
Agricultural and Biological Sciences 3 3%
Physics and Astronomy 3 3%
Other 8 9%
Unknown 31 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 20 March 2024.
All research outputs
#4,647,902
of 22,811,321 outputs
Outputs from Landslides
#115
of 517 outputs
Outputs of similar age
#59,229
of 266,419 outputs
Outputs of similar age from Landslides
#1
of 6 outputs
Altmetric has tracked 22,811,321 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 517 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 77% 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 266,419 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 6 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