↓ Skip to main content

Predicting natural forest regeneration: a statistical model based on inventory data

Overview of attention for article published in European Journal of Forest Research, October 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
47 Mendeley
Title
Predicting natural forest regeneration: a statistical model based on inventory data
Published in
European Journal of Forest Research, October 2017
DOI 10.1007/s10342-017-1080-1
Authors

Horst Kolo, Donna Ankerst, Thomas Knoke

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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 23%
Student > Ph. D. Student 8 17%
Student > Doctoral Student 5 11%
Student > Bachelor 3 6%
Researcher 3 6%
Other 3 6%
Unknown 14 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 32%
Environmental Science 11 23%
Arts and Humanities 1 2%
Computer Science 1 2%
Earth and Planetary Sciences 1 2%
Other 2 4%
Unknown 16 34%
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 27 November 2017.
All research outputs
#13,498,925
of 23,008,860 outputs
Outputs from European Journal of Forest Research
#158
of 325 outputs
Outputs of similar age
#161,201
of 322,939 outputs
Outputs of similar age from European Journal of Forest Research
#3
of 5 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 325 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 51% 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 322,939 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.