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The Potential of Using Dynamic Strains in Earthquake Early Warning Applications

Overview of attention for article published in Seismological Research Letters, July 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
10 Mendeley
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Title
The Potential of Using Dynamic Strains in Earthquake Early Warning Applications
Published in
Seismological Research Letters, July 2020
DOI 10.1785/0220190385
Authors

Noha Farghal, Andrew Barbour, John Langbein

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 30%
Researcher 2 20%
Student > Ph. D. Student 2 20%
Unknown 3 30%
Readers by discipline Count As %
Earth and Planetary Sciences 6 60%
Engineering 1 10%
Unknown 3 30%

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 25 September 2020.
All research outputs
#11,130,791
of 18,954,860 outputs
Outputs from Seismological Research Letters
#668
of 962 outputs
Outputs of similar age
#157,701
of 307,077 outputs
Outputs of similar age from Seismological Research Letters
#47
of 74 outputs
Altmetric has tracked 18,954,860 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 962 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 28th percentile – i.e., 28% 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 307,077 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.