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 |
Leveraging Deep Learning in Global 24/7 Real-Time Earthquake Monitoring at the National Earthquake Information Center
|
|---|---|
| Published in |
Seismological Research Letters, September 2020
|
| DOI | 10.1785/0220200178 |
| Authors |
William Luther Yeck, John M. Patton, Zachary E. Ross, Gavin P. Hayes, Michelle R. Guy, Nick B. Ambruz, David R. Shelly, Harley M. Benz, Paul S. Earle |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 30% |
| Student > Ph. D. Student | 7 | 16% |
| Student > Doctoral Student | 4 | 9% |
| Student > Master | 4 | 9% |
| Lecturer > Senior Lecturer | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 11 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 26 | 59% |
| Computer Science | 2 | 5% |
| Engineering | 2 | 5% |
| Economics, Econometrics and Finance | 1 | 2% |
| Unknown | 13 | 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 23 September 2020.
All research outputs
#14,505,209
of 23,243,271 outputs
Outputs from Seismological Research Letters
#935
of 1,372 outputs
Outputs of similar age
#225,379
of 408,723 outputs
Outputs of similar age from Seismological Research Letters
#28
of 41 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,372 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 29th percentile – i.e., 29% 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 408,723 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.