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Great Expectations: Deconstructing the Process Pathways Underlying Beaver-Related Restoration

Overview of attention for article published in BioScience, January 2021
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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 (71st percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
75 Mendeley
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Title
Great Expectations: Deconstructing the Process Pathways Underlying Beaver-Related Restoration
Published in
BioScience, January 2021
DOI 10.1093/biosci/biaa165
Authors

Caroline S Nash, Gordon E Grant, Susan Charnley, jason B Dunham, Hannah Gosnell, Mark B Hausner, David S Pilliod, Jimmy D Taylor

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 19%
Student > Master 9 12%
Student > Ph. D. Student 7 9%
Other 6 8%
Student > Bachelor 5 7%
Other 5 7%
Unknown 29 39%
Readers by discipline Count As %
Environmental Science 17 23%
Agricultural and Biological Sciences 15 20%
Earth and Planetary Sciences 5 7%
Social Sciences 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 5 7%
Unknown 30 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 17 March 2021.
All research outputs
#5,744,714
of 23,275,636 outputs
Outputs from BioScience
#1,456
of 2,972 outputs
Outputs of similar age
#141,178
of 505,759 outputs
Outputs of similar age from BioScience
#29
of 38 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,972 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.2. This one has gotten more attention than average, scoring higher than 50% 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 505,759 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 71% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.