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
Attention Score in Context
| Title |
Universal machine learning approach to volcanic eruption forecasting using seismic features
|
|---|---|
| Published in |
Frontiers in Earth Science, June 2024
|
| DOI | 10.3389/feart.2024.1342468 |
| Authors |
Pablo Rey-Devesa, Joe Carthy, Manuel Titos, Janire Prudencio, Jesús M. Ibáñez, Carmen Benítez |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 91% |
| Scientists | 2 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 80. 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 04 July 2024.
All research outputs
#561,481
of 26,238,332 outputs
Outputs from Frontiers in Earth Science
#59
of 6,290 outputs
Outputs of similar age
#3,955
of 169,803 outputs
Outputs of similar age from Frontiers in Earth Science
#1
of 27 outputs
Altmetric has tracked 26,238,332 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,290 research outputs from this source. They receive a mean Attention Score of 4.9. 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 169,803 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 98% of its contemporaries.
We're also able to compare this research output to 27 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 96% of its contemporaries.