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Bootstraps for Meta-Analysis with an Application to the Impact of Climate Change

Overview of attention for article published in Computational Economics, June 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
17 Mendeley
Title
Bootstraps for Meta-Analysis with an Application to the Impact of Climate Change
Published in
Computational Economics, June 2014
DOI 10.1007/s10614-014-9448-5
Authors

Richard S. J. Tol

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 47%
Researcher 6 35%
Professor 1 6%
Lecturer > Senior Lecturer 1 6%
Unknown 1 6%
Readers by discipline Count As %
Economics, Econometrics and Finance 8 47%
Environmental Science 2 12%
Earth and Planetary Sciences 1 6%
Decision Sciences 1 6%
Social Sciences 1 6%
Other 0 0%
Unknown 4 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 September 2022.
All research outputs
#8,427,158
of 25,727,480 outputs
Outputs from Computational Economics
#54
of 249 outputs
Outputs of similar age
#77,301
of 243,701 outputs
Outputs of similar age from Computational Economics
#1
of 3 outputs
Altmetric has tracked 25,727,480 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 249 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 78% 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 243,701 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 67% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them