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Spatial prediction of basal area and volume in Eucalyptus stands using Landsat TM data: an assessment of prediction methods

Overview of attention for article published in New Zealand Journal of Forestry Science, January 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

patent
1 patent

Readers on

mendeley
123 Mendeley
Title
Spatial prediction of basal area and volume in Eucalyptus stands using Landsat TM data: an assessment of prediction methods
Published in
New Zealand Journal of Forestry Science, January 2018
DOI 10.1186/s40490-017-0108-0
Authors

Aliny Aparecida dos Reis, Mônica Canaan Carvalho, José Marcio de Mello, Lucas Rezende Gomide, Antônio Carlos Ferraz Filho, Fausto Weimar Acerbi Junior

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 123 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 22%
Student > Bachelor 11 9%
Student > Ph. D. Student 9 7%
Student > Doctoral Student 9 7%
Lecturer 8 7%
Other 22 18%
Unknown 37 30%
Readers by discipline Count As %
Engineering 22 18%
Agricultural and Biological Sciences 17 14%
Environmental Science 16 13%
Earth and Planetary Sciences 9 7%
Computer Science 7 6%
Other 9 7%
Unknown 43 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 August 2022.
All research outputs
#8,538,940
of 25,382,440 outputs
Outputs from New Zealand Journal of Forestry Science
#18
of 79 outputs
Outputs of similar age
#162,453
of 451,641 outputs
Outputs of similar age from New Zealand Journal of Forestry Science
#2
of 3 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 79 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 69% 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 451,641 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 52% 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.