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Generalizing the Inversion-Based PSHA Source Model for an Interconnected Fault System

Overview of attention for article published in Bulletin of the Seismological Society of America, November 2020
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3 X users

Citations

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14 Dimensions

Readers on

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14 Mendeley
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Title
Generalizing the Inversion-Based PSHA Source Model for an Interconnected Fault System
Published in
Bulletin of the Seismological Society of America, November 2020
DOI 10.1785/0120200219
Authors

Edward H. Field, Kevin R. Milner, Morgan T. Page

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 43%
Student > Master 2 14%
Student > Ph. D. Student 2 14%
Unspecified 1 7%
Unknown 3 21%
Readers by discipline Count As %
Earth and Planetary Sciences 6 43%
Engineering 2 14%
Agricultural and Biological Sciences 1 7%
Unspecified 1 7%
Unknown 4 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 November 2020.
All research outputs
#14,807,760
of 24,983,099 outputs
Outputs from Bulletin of the Seismological Society of America
#1,284
of 1,883 outputs
Outputs of similar age
#254,517
of 518,747 outputs
Outputs of similar age from Bulletin of the Seismological Society of America
#11
of 15 outputs
Altmetric has tracked 24,983,099 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,883 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 31st percentile – i.e., 31% 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 518,747 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 50% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.