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Monitoring super-volcanoes: geophysical and geochemical signals at Yellowstone and other large caldera systems

Overview of attention for article published in Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences, June 2006
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

blogs
2 blogs
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
102 Dimensions

Readers on

mendeley
164 Mendeley
citeulike
2 CiteULike
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Title
Monitoring super-volcanoes: geophysical and geochemical signals at Yellowstone and other large caldera systems
Published in
Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences, June 2006
DOI 10.1098/rsta.2006.1813
Pubmed ID
Authors

Jacob B Lowenstern, Robert B Smith, David P Hill

Abstract

Earth's largest calderas form as the ground collapses during immense volcanic eruptions, when hundreds to thousands of cubic kilometres of magma are explosively withdrawn from the Earth's crust over a period of days to weeks. Continuing long after such great eruptions, the resulting calderas often exhibit pronounced unrest, with frequent earthquakes, alternating uplift and subsidence of the ground, and considerable heat and mass flux. Because many active and extinct calderas show evidence for repetition of large eruptions, such systems demand detailed scientific study and monitoring. Two calderas in North America, Yellowstone (Wyoming) and Long Valley (California), are in areas of youthful tectonic complexity. Scientists strive to understand the signals generated when tectonic, volcanic and hydrothermal (hot ground water) processes intersect. One obstacle to accurate forecasting of large volcanic events is humanity's lack of familiarity with the signals leading up to the largest class of volcanic eruptions. Accordingly, it may be difficult to recognize the difference between smaller and larger eruptions. To prepare ourselves and society, scientists must scrutinize a spectrum of volcanic signals and assess the many factors contributing to unrest and toward diverse modes of eruption.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
New Zealand 2 1%
Portugal 1 <1%
Belgium 1 <1%
Unknown 158 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 20%
Researcher 30 18%
Student > Master 25 15%
Student > Bachelor 21 13%
Professor > Associate Professor 9 5%
Other 26 16%
Unknown 21 13%
Readers by discipline Count As %
Earth and Planetary Sciences 107 65%
Environmental Science 7 4%
Unspecified 4 2%
Psychology 2 1%
Biochemistry, Genetics and Molecular Biology 2 1%
Other 10 6%
Unknown 32 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 December 2023.
All research outputs
#2,296,833
of 25,373,627 outputs
Outputs from Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences
#537
of 3,637 outputs
Outputs of similar age
#4,670
of 88,067 outputs
Outputs of similar age from Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences
#7
of 27 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,637 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has done well, scoring higher than 85% 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 88,067 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 94% 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 gotten more attention than average, scoring higher than 74% of its contemporaries.