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Earthquake Early Warning Using Ocean Bottom Seismic Data for Railways

Overview of attention for article published in Quarterly Report of RTRI, May 2019
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2 X users

Citations

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4 Dimensions

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4 Mendeley
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Title
Earthquake Early Warning Using Ocean Bottom Seismic Data for Railways
Published in
Quarterly Report of RTRI, May 2019
DOI 10.2219/rtriqr.60.2_134
Authors

Masahiro KORENAGA, Shunroku YAMAMOTO, NODA Shunta, AOI Shin

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Unspecified 1 25%
Lecturer 1 25%
Readers by discipline Count As %
Unspecified 1 25%
Mathematics 1 25%
Engineering 1 25%
Unknown 1 25%
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 01 June 2019.
All research outputs
#15,839,422
of 25,852,155 outputs
Outputs from Quarterly Report of RTRI
#19
of 22 outputs
Outputs of similar age
#198,085
of 365,844 outputs
Outputs of similar age from Quarterly Report of RTRI
#2
of 2 outputs
Altmetric has tracked 25,852,155 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22 research outputs from this source. They receive a mean Attention Score of 3.1. This one scored the same or higher as 3 of them.
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 365,844 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.