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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 (64th percentile)

Mentioned by

twitter
17 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
23 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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Researcher 3 13%
Student > Ph. D. Student 2 9%
Professor 2 9%
Student > Bachelor 1 4%
Other 1 4%
Unknown 10 43%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 17%
Environmental Science 3 13%
Engineering 3 13%
Earth and Planetary Sciences 1 4%
Unknown 12 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
#3,710,955
of 25,579,912 outputs
Outputs from Ecological Applications
#923
of 3,348 outputs
Outputs of similar age
#78,213
of 445,464 outputs
Outputs of similar age from Ecological Applications
#34
of 92 outputs
Altmetric has tracked 25,579,912 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 3,348 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.5. 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 445,464 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 64% of its contemporaries.