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An efficient Bayesian framework for updating PAGER loss estimates

Overview of attention for article published in Earthquake Spectra, August 2020
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
6 Mendeley
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Title
An efficient Bayesian framework for updating PAGER loss estimates
Published in
Earthquake Spectra, August 2020
DOI 10.1177/8755293020944177
Authors

Hae Young Noh, Kishor S Jaiswal, Davis Engler, David J Wald

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Student > Doctoral Student 1 17%
Unspecified 1 17%
Unknown 2 33%
Readers by discipline Count As %
Engineering 2 33%
Agricultural and Biological Sciences 1 17%
Unspecified 1 17%
Unknown 2 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 October 2020.
All research outputs
#16,819,255
of 19,019,810 outputs
Outputs from Earthquake Spectra
#305
of 319 outputs
Outputs of similar age
#272,893
of 323,083 outputs
Outputs of similar age from Earthquake Spectra
#30
of 30 outputs
Altmetric has tracked 19,019,810 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 319 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 1st percentile – i.e., 1% 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 323,083 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.