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A Model-Based Approach to Climate Reconstruction Using Tree-Ring Data

Overview of attention for article published in Journal of the American Statistical Association, May 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#39 of 3,670)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
2 X users
reddit
1 Redditor
q&a
1 Q&A thread

Readers on

mendeley
101 Mendeley
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Article details
Title
A Model-Based Approach to Climate Reconstruction Using Tree-Ring Data
Published in
Journal of the American Statistical Association, May 2016
DOI 10.1080/01621459.2015.1110524
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Russia 1 <1%
Australia 1 <1%
Unknown 98 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 22 22%
Student > Ph. D. Student 19 19%
Student > Master 10 10%
Student > Doctoral Student 9 9%
Other 5 5%
Other 13 13%
Unknown 23 23%
Readers by discipline
Readers by discipline Count As %
Environmental Science 27 27%
Earth and Planetary Sciences 17 17%
Agricultural and Biological Sciences 16 16%
Mathematics 8 8%
Engineering 2 2%
Other 6 6%
Unknown 25 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 62. 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 06 May 2020.
All research outputs
#827,418
of 31,978,644 outputs
Outputs from Journal of the American Statistical Association
#39
of 3,670 outputs
Outputs of similar age
#11,265
of 325,541 outputs
Outputs of similar age from Journal of the American Statistical Association
#1
of 16 outputs
Altmetric has tracked 31,978,644 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,670 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done particularly well, scoring higher than 98% 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 325,541 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 96% of its contemporaries.
We're also able to compare this research output to 16 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.