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Can Low-Resolution Airborne Laser Scanning Data Be Used to Model Stream Rating Curves?

Overview of attention for article published in Water (20734441), March 2015
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

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5 Dimensions

Readers on

mendeley
17 Mendeley
Title
Can Low-Resolution Airborne Laser Scanning Data Be Used to Model Stream Rating Curves?
Published in
Water (20734441), March 2015
DOI 10.3390/w7041324
Authors

Steve Lyon, Marcus Nathanson, Norris Lam, Helen Dahlke, Martin Rutzinger, Jason Kean, Hjalmar Laudon

Twitter Demographics

The data shown below were collected from the profiles of 2 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 29%
Student > Master 3 18%
Professor > Associate Professor 2 12%
Unspecified 2 12%
Student > Ph. D. Student 2 12%
Other 3 18%
Readers by discipline Count As %
Environmental Science 7 41%
Unspecified 4 24%
Earth and Planetary Sciences 3 18%
Engineering 3 18%

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 24 March 2015.
All research outputs
#6,714,029
of 11,351,626 outputs
Outputs from Water (20734441)
#632
of 1,657 outputs
Outputs of similar age
#105,215
of 208,912 outputs
Outputs of similar age from Water (20734441)
#16
of 28 outputs
Altmetric has tracked 11,351,626 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,657 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 59% 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 208,912 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.