↓ Skip to main content

Science Advances

Verification of extreme event attribution: Using out-of-sample observations to assess changes in probabilities of unprecedented events

Overview of attention for article published in Science Advances, March 2020
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
29 news outlets
blogs
7 blogs
policy
1 policy source
twitter
70 X users
wikipedia
1 Wikipedia page
reddit
1 Redditor

Citations

dimensions_citation
79 Dimensions

Readers on

mendeley
148 Mendeley
Title
Verification of extreme event attribution: Using out-of-sample observations to assess changes in probabilities of unprecedented events
Published in
Science Advances, March 2020
DOI 10.1126/sciadv.aay2368
Pubmed ID
Authors

Noah S. Diffenbaugh

X Demographics

X Demographics

The data shown below were collected from the profiles of 70 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 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 148 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 18%
Researcher 23 16%
Student > Master 13 9%
Student > Doctoral Student 9 6%
Student > Bachelor 8 5%
Other 20 14%
Unknown 49 33%
Readers by discipline Count As %
Earth and Planetary Sciences 30 20%
Environmental Science 28 19%
Agricultural and Biological Sciences 12 8%
Engineering 7 5%
Business, Management and Accounting 4 3%
Other 15 10%
Unknown 52 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 325. 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 01 December 2023.
All research outputs
#103,515
of 25,455,127 outputs
Outputs from Science Advances
#1,021
of 12,280 outputs
Outputs of similar age
#3,304
of 391,301 outputs
Outputs of similar age from Science Advances
#36
of 514 outputs
Altmetric has tracked 25,455,127 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 12,280 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 120.0. This one has done particularly well, scoring higher than 91% 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 391,301 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 514 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 93% of its contemporaries.