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Predicting tree preferences from visible tree characteristics

Overview of attention for article published in European Journal of Forest Research, April 2017
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Mentioned by

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1 X user

Citations

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16 Dimensions

Readers on

mendeley
54 Mendeley
Title
Predicting tree preferences from visible tree characteristics
Published in
European Journal of Forest Research, April 2017
DOI 10.1007/s10342-017-1042-7
Authors

Mathias Hofmann, Tina Gerstenberg, Sten Gillner

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

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 22%
Researcher 9 17%
Student > Doctoral Student 5 9%
Student > Master 5 9%
Student > Bachelor 4 7%
Other 5 9%
Unknown 14 26%
Readers by discipline Count As %
Environmental Science 15 28%
Agricultural and Biological Sciences 7 13%
Psychology 6 11%
Social Sciences 2 4%
Nursing and Health Professions 1 2%
Other 5 9%
Unknown 18 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 07 April 2017.
All research outputs
#15,452,475
of 22,962,258 outputs
Outputs from European Journal of Forest Research
#208
of 323 outputs
Outputs of similar age
#194,301
of 309,562 outputs
Outputs of similar age from European Journal of Forest Research
#4
of 4 outputs
Altmetric has tracked 22,962,258 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 323 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 26th percentile – i.e., 26% 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 309,562 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.