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China’s socioeconomic risk from extreme events in a changing climate: a hierarchical Bayesian model

Overview of attention for article published in Climatic Change, September 2016
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Mentioned by

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3 X users

Citations

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11 Dimensions

Readers on

mendeley
34 Mendeley
citeulike
1 CiteULike
Title
China’s socioeconomic risk from extreme events in a changing climate: a hierarchical Bayesian model
Published in
Climatic Change, September 2016
DOI 10.1007/s10584-016-1749-3
Authors

Xiao-Chen Yuan, Xun Sun, Upmanu Lall, Zhi-Fu Mi, Jun He, Yi-Ming Wei

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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
India 1 3%
Unknown 31 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 18%
Student > Doctoral Student 4 12%
Student > Ph. D. Student 4 12%
Professor 3 9%
Student > Master 3 9%
Other 4 12%
Unknown 10 29%
Readers by discipline Count As %
Environmental Science 7 21%
Earth and Planetary Sciences 6 18%
Social Sciences 4 12%
Business, Management and Accounting 1 3%
Economics, Econometrics and Finance 1 3%
Other 3 9%
Unknown 12 35%
Attention Score in Context

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 09 September 2016.
All research outputs
#15,383,207
of 22,886,568 outputs
Outputs from Climatic Change
#5,348
of 5,814 outputs
Outputs of similar age
#211,711
of 332,538 outputs
Outputs of similar age from Climatic Change
#64
of 73 outputs
Altmetric has tracked 22,886,568 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,814 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.6. This one is in the 5th percentile – i.e., 5% 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 332,538 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.