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Earthquake early warning systems based on low-cost ground motion sensors: A systematic literature review

Overview of attention for article published in Frontiers in Sensors, November 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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2 X users

Citations

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10 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Earthquake early warning systems based on low-cost ground motion sensors: A systematic literature review
Published in
Frontiers in Sensors, November 2022
DOI 10.3389/fsens.2022.1020202
Authors

Chanthujan Chandrakumar, Raj Prasanna, Max Stephens, Marion Lara Tan

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 12%
Student > Ph. D. Student 2 8%
Lecturer > Senior Lecturer 1 4%
Student > Doctoral Student 1 4%
Unspecified 1 4%
Other 4 15%
Unknown 14 54%
Readers by discipline Count As %
Engineering 6 23%
Computer Science 3 12%
Social Sciences 1 4%
Earth and Planetary Sciences 1 4%
Unknown 15 58%
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 04 November 2022.
All research outputs
#19,961,193
of 25,392,582 outputs
Outputs from Frontiers in Sensors
#29
of 86 outputs
Outputs of similar age
#306,732
of 440,333 outputs
Outputs of similar age from Frontiers in Sensors
#3
of 16 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 86 research outputs from this source. They receive a mean Attention Score of 2.0. This one has gotten more attention than average, scoring higher than 54% 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 440,333 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 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 62% of its contemporaries.