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Topographically modified tree-ring chronologies as a potential means to improve paleoclimate inference

Overview of attention for article published in Climatic Change, January 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
72 Mendeley
Title
Topographically modified tree-ring chronologies as a potential means to improve paleoclimate inference
Published in
Climatic Change, January 2011
DOI 10.1007/s10584-010-0005-5
Authors

Andrew G. Bunn, Malcolm K. Hughes, Matthew W. Salzer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Italy 1 1%
Unknown 68 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 25%
Student > Master 16 22%
Researcher 11 15%
Professor 5 7%
Student > Doctoral Student 3 4%
Other 11 15%
Unknown 8 11%
Readers by discipline Count As %
Environmental Science 27 38%
Earth and Planetary Sciences 15 21%
Agricultural and Biological Sciences 12 17%
Engineering 4 6%
Social Sciences 1 1%
Other 1 1%
Unknown 12 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 29 July 2016.
All research outputs
#5,848,216
of 22,668,244 outputs
Outputs from Climatic Change
#3,321
of 5,803 outputs
Outputs of similar age
#43,495
of 181,000 outputs
Outputs of similar age from Climatic Change
#43
of 80 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 5,803 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 15th percentile – i.e., 15% 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 181,000 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.