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Toward a Social-Ecological Theory of Forest Macrosystems for Improved Ecosystem Management

Overview of attention for article published in Forests (19994907), April 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
10 tweeters
googleplus
1 Google+ user

Readers on

mendeley
27 Mendeley
Title
Toward a Social-Ecological Theory of Forest Macrosystems for Improved Ecosystem Management
Published in
Forests (19994907), April 2018
DOI 10.3390/f9040200
Authors

William Kleindl, Paul Stoy, Michael Binford, Ankur Desai, Michael Dietze, Courtney Schultz, Gregory Starr, Christina Staudhammer, David Wood

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Student > Ph. D. Student 5 19%
Professor > Associate Professor 3 11%
Student > Bachelor 3 11%
Researcher 3 11%
Other 8 30%
Readers by discipline Count As %
Environmental Science 14 52%
Agricultural and Biological Sciences 6 22%
Unspecified 4 15%
Earth and Planetary Sciences 1 4%
Social Sciences 1 4%
Other 1 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 09 August 2018.
All research outputs
#1,915,637
of 12,465,758 outputs
Outputs from Forests (19994907)
#145
of 1,199 outputs
Outputs of similar age
#65,594
of 272,962 outputs
Outputs of similar age from Forests (19994907)
#23
of 127 outputs
Altmetric has tracked 12,465,758 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,199 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 87% 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 272,962 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.