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Science Advances

MyShake: A smartphone seismic network for earthquake early warning and beyond

Overview of attention for article published in Science Advances, February 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
51 news outlets
blogs
5 blogs
twitter
122 X users
facebook
7 Facebook pages
googleplus
2 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
217 Dimensions

Readers on

mendeley
268 Mendeley
citeulike
1 CiteULike
Title
MyShake: A smartphone seismic network for earthquake early warning and beyond
Published in
Science Advances, February 2016
DOI 10.1126/sciadv.1501055
Pubmed ID
Authors

Qingkai Kong, Richard M. Allen, Louis Schreier, Young-Woo Kwon

Abstract

Large magnitude earthquakes in urban environments continue to kill and injure tens to hundreds of thousands of people, inflicting lasting societal and economic disasters. Earthquake early warning (EEW) provides seconds to minutes of warning, allowing people to move to safe zones and automated slowdown and shutdown of transit and other machinery. The handful of EEW systems operating around the world use traditional seismic and geodetic networks that exist only in a few nations. Smartphones are much more prevalent than traditional networks and contain accelerometers that can also be used to detect earthquakes. We report on the development of a new type of seismic system, MyShake, that harnesses personal/private smartphone sensors to collect data and analyze earthquakes. We show that smartphones can record magnitude 5 earthquakes at distances of 10 km or less and develop an on-phone detection capability to separate earthquakes from other everyday shakes. Our proof-of-concept system then collects earthquake data at a central site where a network detection algorithm confirms that an earthquake is under way and estimates the location and magnitude in real time. This information can then be used to issue an alert of forthcoming ground shaking. MyShake could be used to enhance EEW in regions with traditional networks and could provide the only EEW capability in regions without. In addition, the seismic waveforms recorded could be used to deliver rapid microseism maps, study impacts on buildings, and possibly image shallow earth structure and earthquake rupture kinematics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 122 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 268 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 <1%
Colombia 1 <1%
Germany 1 <1%
Unknown 265 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 20%
Researcher 48 18%
Student > Master 37 14%
Student > Bachelor 23 9%
Student > Doctoral Student 14 5%
Other 33 12%
Unknown 59 22%
Readers by discipline Count As %
Earth and Planetary Sciences 80 30%
Engineering 45 17%
Computer Science 28 10%
Social Sciences 10 4%
Environmental Science 7 3%
Other 30 11%
Unknown 68 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 507. 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 09 September 2022.
All research outputs
#51,685
of 25,807,758 outputs
Outputs from Science Advances
#642
of 12,551 outputs
Outputs of similar age
#855
of 412,323 outputs
Outputs of similar age from Science Advances
#5
of 109 outputs
Altmetric has tracked 25,807,758 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,551 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 119.8. This one has done particularly well, scoring higher than 94% 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 412,323 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.