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Simulation-efficient shortest probability intervals

Overview of attention for article published in Statistics and Computing, June 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
41 Mendeley
Title
Simulation-efficient shortest probability intervals
Published in
Statistics and Computing, June 2015
DOI 10.1007/s11222-015-9563-8
Authors

Ying Liu, Andrew Gelman, Tian Zheng

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 7%
United Kingdom 1 2%
India 1 2%
Unknown 36 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 29%
Researcher 8 20%
Student > Master 7 17%
Other 5 12%
Professor 3 7%
Other 4 10%
Unknown 2 5%
Readers by discipline Count As %
Mathematics 8 20%
Computer Science 4 10%
Psychology 4 10%
Agricultural and Biological Sciences 3 7%
Economics, Econometrics and Finance 3 7%
Other 14 34%
Unknown 5 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 24 June 2015.
All research outputs
#5,878,594
of 22,817,213 outputs
Outputs from Statistics and Computing
#99
of 502 outputs
Outputs of similar age
#68,295
of 266,762 outputs
Outputs of similar age from Statistics and Computing
#10
of 23 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 502 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 75% 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 266,762 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 74% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.