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Microtremor array method using spatial autocorrelation analysis of Rayleigh-wave data

Overview of attention for article published in Journal of Seismology, April 2022
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1 X user

Citations

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19 Dimensions

Readers on

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31 Mendeley
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Title
Microtremor array method using spatial autocorrelation analysis of Rayleigh-wave data
Published in
Journal of Seismology, April 2022
DOI 10.1007/s10950-021-10051-y
Authors

Koichi Hayashi, Michael W. Asten, William J. Stephenson, Cécile Cornou, Manuel Hobiger, Marco Pilz, Hiroaki Yamanaka

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 10%
Researcher 3 10%
Student > Bachelor 3 10%
Professor > Associate Professor 2 6%
Student > Ph. D. Student 2 6%
Other 2 6%
Unknown 16 52%
Readers by discipline Count As %
Earth and Planetary Sciences 10 32%
Unspecified 3 10%
Mathematics 1 3%
Engineering 1 3%
Unknown 16 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 April 2022.
All research outputs
#19,012,063
of 23,570,677 outputs
Outputs from Journal of Seismology
#209
of 269 outputs
Outputs of similar age
#316,012
of 442,804 outputs
Outputs of similar age from Journal of Seismology
#3
of 11 outputs
Altmetric has tracked 23,570,677 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 269 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 3rd percentile – i.e., 3% 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 442,804 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.