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Gap models across micro- to mega-scales of time and space: examples of Tansley’s ecosystem concept

Overview of attention for article published in Forest Ecosystems, March 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
11 X users

Readers on

mendeley
48 Mendeley
Title
Gap models across micro- to mega-scales of time and space: examples of Tansley’s ecosystem concept
Published in
Forest Ecosystems, March 2020
DOI 10.1186/s40663-020-00225-4
Authors

H. H. Shugart, Adrianna Foster, Bin Wang, Dan Druckenbrod, Jianyong Ma, Manuel Lerdau, Sassan Saatchi, Xi Yang, Xiaodong Yan

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 15%
Student > Ph. D. Student 6 13%
Student > Master 6 13%
Student > Bachelor 3 6%
Student > Doctoral Student 2 4%
Other 7 15%
Unknown 17 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 23%
Environmental Science 10 21%
Earth and Planetary Sciences 3 6%
Mathematics 1 2%
Economics, Econometrics and Finance 1 2%
Other 3 6%
Unknown 19 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 May 2020.
All research outputs
#6,339,957
of 25,394,764 outputs
Outputs from Forest Ecosystems
#71
of 356 outputs
Outputs of similar age
#118,828
of 392,376 outputs
Outputs of similar age from Forest Ecosystems
#4
of 12 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 356 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 80% 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 392,376 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 69% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.