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Does large dam removal restore downstream riparian vegetation diversity? Testing predictions on the Elwha River, Washington, USA

Overview of attention for article published in Ecological Applications, June 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
17 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Does large dam removal restore downstream riparian vegetation diversity? Testing predictions on the Elwha River, Washington, USA
Published in
Ecological Applications, June 2022
DOI 10.1002/eap.2591
Pubmed ID
Authors

Rebecca L. Brown, Cody C. Thomas, Erin S. Cubley, Aaron J. Clausen, Patrick B. Shafroth

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 17%
Researcher 4 14%
Professor 2 7%
Student > Ph. D. Student 2 7%
Unspecified 1 3%
Other 2 7%
Unknown 13 45%
Readers by discipline Count As %
Environmental Science 5 17%
Agricultural and Biological Sciences 4 14%
Engineering 3 10%
Earth and Planetary Sciences 1 3%
Unspecified 1 3%
Other 0 0%
Unknown 15 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 14 August 2022.
All research outputs
#3,764,497
of 25,846,867 outputs
Outputs from Ecological Applications
#937
of 3,366 outputs
Outputs of similar age
#78,788
of 446,858 outputs
Outputs of similar age from Ecological Applications
#34
of 92 outputs
Altmetric has tracked 25,846,867 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,366 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.7. This one has gotten more attention than average, scoring higher than 72% 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 446,858 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 82% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.