↓ Skip to main content

Nonlinear versus linearised model on stand density model fitting and stand density index calculation: analysis of coefficients estimation via simulation

Overview of attention for article published in Journal of Forestry Research, May 2019
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
11 Mendeley
Title
Nonlinear versus linearised model on stand density model fitting and stand density index calculation: analysis of coefficients estimation via simulation
Published in
Journal of Forestry Research, May 2019
DOI 10.1007/s11676-019-00967-0
Authors

Maurizio Marchi

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 18%
Lecturer 1 9%
Student > Ph. D. Student 1 9%
Researcher 1 9%
Professor > Associate Professor 1 9%
Other 0 0%
Unknown 5 45%
Readers by discipline Count As %
Environmental Science 2 18%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Mathematics 1 9%
Linguistics 1 9%
Agricultural and Biological Sciences 1 9%
Other 1 9%
Unknown 4 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 May 2019.
All research outputs
#13,647,571
of 23,144,579 outputs
Outputs from Journal of Forestry Research
#109
of 390 outputs
Outputs of similar age
#175,867
of 349,745 outputs
Outputs of similar age from Journal of Forestry Research
#3
of 11 outputs
Altmetric has tracked 23,144,579 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 390 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 70% 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 349,745 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.