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SPECIES-SPECIFIC EQUATIONS: GREATER PRECISION IN COMMERCIAL VOLUME ESTIMATION IN MANAGED FORESTS IN THE AMAZON

Overview of attention for article published in CERNE, September 2020
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Mentioned by

peer_reviews
1 peer review site

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
3 Mendeley
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Title
SPECIES-SPECIFIC EQUATIONS: GREATER PRECISION IN COMMERCIAL VOLUME ESTIMATION IN MANAGED FORESTS IN THE AMAZON
Published in
CERNE, September 2020
DOI 10.1590/01047760202026032741
Authors

Misael Freitas dos Santos, Afonso Figueiredo, João Ricardo Vasconcellos Gama, Fabiane Aparecida de Souza Retslaff, Daniele Lima da Costa

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Other 1 33%
Unknown 1 33%
Readers by discipline Count As %
Mathematics 1 33%
Agricultural and Biological Sciences 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 January 2022.
All research outputs
#17,781,335
of 26,047,917 outputs
Outputs from CERNE
#15
of 24 outputs
Outputs of similar age
#274,649
of 428,002 outputs
Outputs of similar age from CERNE
#1
of 1 outputs
Altmetric has tracked 26,047,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24 research outputs from this source. They receive a mean Attention Score of 2.7. This one scored the same or higher as 9 of them.
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 428,002 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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