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Reducing standard errors by incorporating spatial autocorrelation into a measurement scheme for soil carbon credits

Overview of attention for article published in Climatic Change, December 2006
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
51 Mendeley
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Title
Reducing standard errors by incorporating spatial autocorrelation into a measurement scheme for soil carbon credits
Published in
Climatic Change, December 2006
DOI 10.1007/s10584-006-9142-2
Authors

Siân Mooney, Ken Gerow, John Antle, Susan Capalbo, Keith Paustian

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
United Kingdom 1 2%
Spain 1 2%
Germany 1 2%
Unknown 46 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 27%
Student > Ph. D. Student 7 14%
Professor > Associate Professor 6 12%
Student > Master 6 12%
Other 6 12%
Other 8 16%
Unknown 4 8%
Readers by discipline Count As %
Environmental Science 19 37%
Agricultural and Biological Sciences 15 29%
Economics, Econometrics and Finance 5 10%
Engineering 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 2 4%
Unknown 7 14%
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
#5,942,633
of 22,985,065 outputs
Outputs from Climatic Change
#3,338
of 5,824 outputs
Outputs of similar age
#33,148
of 157,166 outputs
Outputs of similar age from Climatic Change
#34
of 52 outputs
Altmetric has tracked 22,985,065 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 5,824 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 157,166 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 78% of its contemporaries.
We're also able to compare this research output to 52 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.