| Title |
Automatic precursor recognition and real-time forecasting of sudden explosive volcanic eruptions at Whakaari, New Zealand
|
|---|---|
| Published in |
Nature Communications, July 2020
|
| DOI | 10.1038/s41467-020-17375-2 |
| Pubmed ID | |
| Authors |
D. E. Dempsey, S. J. Cronin, S. Mei, A. W. Kempa-Liehr |
X Demographics
The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 3 | 13% |
| United Kingdom | 3 | 13% |
| Australia | 1 | 4% |
| Mexico | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 15 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 67% |
| Scientists | 4 | 17% |
| Science communicators (journalists, bloggers, editors) | 4 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 124 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 27% |
| Student > Master | 17 | 14% |
| Student > Ph. D. Student | 16 | 13% |
| Student > Bachelor | 8 | 6% |
| Other | 7 | 6% |
| Other | 15 | 12% |
| Unknown | 28 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 63 | 51% |
| Computer Science | 8 | 6% |
| Environmental Science | 4 | 3% |
| Unspecified | 3 | 2% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 8 | 6% |
| Unknown | 36 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1101. 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 21 April 2022.
All research outputs
#13,994
of 25,759,158 outputs
Outputs from Nature Communications
#275
of 58,347 outputs
Outputs of similar age
#645
of 430,166 outputs
Outputs of similar age from Nature Communications
#15
of 1,564 outputs
Altmetric has tracked 25,759,158 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 58,347 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.5. 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 430,166 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 1,564 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 99% of its contemporaries.