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Variable retention harvesting in Great Lakes mixed-pine forests: emulating a natural model in managed ecosystems

Overview of attention for article published in Ecological Processes, May 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
36 Mendeley
Title
Variable retention harvesting in Great Lakes mixed-pine forests: emulating a natural model in managed ecosystems
Published in
Ecological Processes, May 2019
DOI 10.1186/s13717-019-0171-y
Authors

Brian J. Palik, Anthony W. D’Amato

Twitter Demographics

The data shown below were collected from the profiles of 3 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Master 7 19%
Student > Ph. D. Student 6 17%
Student > Bachelor 3 8%
Professor 1 3%
Other 2 6%
Unknown 9 25%
Readers by discipline Count As %
Environmental Science 11 31%
Agricultural and Biological Sciences 8 22%
Earth and Planetary Sciences 4 11%
Arts and Humanities 1 3%
Chemistry 1 3%
Other 0 0%
Unknown 11 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 July 2021.
All research outputs
#12,183,641
of 20,114,180 outputs
Outputs from Ecological Processes
#69
of 235 outputs
Outputs of similar age
#145,265
of 277,387 outputs
Outputs of similar age from Ecological Processes
#1
of 1 outputs
Altmetric has tracked 20,114,180 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 235 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 68% 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 277,387 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them