You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Short-Term Forecasting of Taiwanese Earthquakes Using a Universal Model of Fusion-Fission Processes
|
|---|---|
| Published in |
Scientific Reports, January 2014
|
| DOI | 10.1038/srep03624 |
| Pubmed ID | |
| Authors |
Siew Ann Cheong, Teck Liang Tan, Chien-Chih Chen, Wu-Lung Chang, Zheng Liu, Lock Yue Chew, Peter M. A. Sloot, Neil F. Johnson |
| Abstract |
Predicting how large an earthquake can be, where and when it will strike remains an elusive goal in spite of the ever-increasing volume of data collected by earth scientists. In this paper, we introduce a universal model of fusion-fission processes that can be used to predict earthquakes starting from catalog data. We show how the equilibrium dynamics of this model very naturally explains the Gutenberg-Richter law. Using the high-resolution earthquake catalog of Taiwan between Jan 1994 and Feb 2009, we illustrate how out-of-equilibrium spatio-temporal signatures in the time interval between earthquakes and the integrated energy released by earthquakes can be used to reliably determine the times, magnitudes, and locations of large earthquakes, as well as the maximum numbers of large aftershocks that would follow. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Netherlands | 1 | 4% |
| Unknown | 23 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 24% |
| Student > Master | 4 | 16% |
| Student > Ph. D. Student | 4 | 16% |
| Professor > Associate Professor | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 3 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 7 | 28% |
| Physics and Astronomy | 5 | 20% |
| Computer Science | 3 | 12% |
| Mathematics | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 5 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 10 March 2019.
All research outputs
#6,935,159
of 22,741,406 outputs
Outputs from Scientific Reports
#46,763
of 122,590 outputs
Outputs of similar age
#82,999
of 304,957 outputs
Outputs of similar age from Scientific Reports
#239
of 663 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 122,590 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has gotten more attention than average, scoring higher than 61% 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 304,957 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 663 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 63% of its contemporaries.