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Mixed-effects modeling for tree height prediction models of Oriental beech in the Hyrcanian forests

Overview of attention for article published in Journal of Forestry Research, November 2017
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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1 X user

Citations

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11 Dimensions

Readers on

mendeley
22 Mendeley
Title
Mixed-effects modeling for tree height prediction models of Oriental beech in the Hyrcanian forests
Published in
Journal of Forestry Research, November 2017
DOI 10.1007/s11676-017-0551-z
Authors

Siavash Kalbi, Asghar Fallah, Pete Bettinger, Shaban Shataee, Rassoul Yousefpour

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 18%
Lecturer 2 9%
Student > Doctoral Student 2 9%
Student > Ph. D. Student 2 9%
Professor 1 5%
Other 2 9%
Unknown 9 41%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 32%
Environmental Science 2 9%
Business, Management and Accounting 1 5%
Unspecified 1 5%
Unknown 11 50%
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 14 July 2018.
All research outputs
#15,540,879
of 23,096,849 outputs
Outputs from Journal of Forestry Research
#160
of 382 outputs
Outputs of similar age
#266,138
of 438,892 outputs
Outputs of similar age from Journal of Forestry Research
#3
of 6 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 382 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 48th percentile – i.e., 48% 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 438,892 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.