↓ Skip to main content

Numerical experiments to explain multiscale hydrological responses to mountain pine beetle tree mortality in a headwater watershed

Overview of attention for article published in Water Resources Research, April 2016
Altmetric Badge

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 (74th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

policy
1 policy source
twitter
4 X users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
60 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Numerical experiments to explain multiscale hydrological responses to mountain pine beetle tree mortality in a headwater watershed
Published in
Water Resources Research, April 2016
DOI 10.1002/2015wr018300
Authors

Colin A. Penn, Lindsay A. Bearup, Reed M. Maxwell, David W. Clow

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 30%
Researcher 13 22%
Student > Master 5 8%
Professor > Associate Professor 2 3%
Lecturer 1 2%
Other 4 7%
Unknown 17 28%
Readers by discipline Count As %
Environmental Science 20 33%
Earth and Planetary Sciences 15 25%
Engineering 6 10%
Agricultural and Biological Sciences 1 2%
Unknown 18 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 June 2019.
All research outputs
#5,431,957
of 25,376,589 outputs
Outputs from Water Resources Research
#1,167
of 5,239 outputs
Outputs of similar age
#78,915
of 312,661 outputs
Outputs of similar age from Water Resources Research
#11
of 60 outputs
Altmetric has tracked 25,376,589 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,239 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has done well, scoring higher than 77% 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 312,661 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 74% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.