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Earthquake Forecasting Using Big Data and Artificial Intelligence: A 30-Week Real-Time Case Study in China

Overview of attention for article published in Bulletin of the Seismological Society of America, September 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 2,155)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
49 news outlets
blogs
4 blogs
twitter
41 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Earthquake Forecasting Using Big Data and Artificial Intelligence: A 30-Week Real-Time Case Study in China
Published in
Bulletin of the Seismological Society of America, September 2023
DOI 10.1785/0120230031
Authors

Omar M. Saad, Yunfeng Chen, Alexandros Savvaidis, Sergey Fomel, Xiuxuan Jiang, Dino Huang, Yapo Abolé Serge Innocent Oboué, Shanshan Yong, Xin’an Wang, Xing Zhang, Yangkang Chen

X Demographics

X Demographics

The data shown below were collected from the profiles of 41 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 13%
Researcher 2 13%
Student > Ph. D. Student 1 7%
Professor > Associate Professor 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Unknown 8 53%
Readers by discipline Count As %
Earth and Planetary Sciences 4 27%
Engineering 3 20%
Unknown 8 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 415. 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 27 August 2024.
All research outputs
#75,381
of 26,533,029 outputs
Outputs from Bulletin of the Seismological Society of America
#5
of 2,155 outputs
Outputs of similar age
#1,503
of 365,378 outputs
Outputs of similar age from Bulletin of the Seismological Society of America
#1
of 43 outputs
Altmetric has tracked 26,533,029 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 2,155 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done particularly well, scoring higher than 99% 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 365,378 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 43 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 97% of its contemporaries.