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Using LiDAR and quickbird data to model plant production and quantify uncertainties associated with wetland detection and land cover generalizations

Overview of attention for article published in Remote Sensing of Environment, November 2009
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
157 Mendeley
citeulike
1 CiteULike
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Title
Using LiDAR and quickbird data to model plant production and quantify uncertainties associated with wetland detection and land cover generalizations
Published in
Remote Sensing of Environment, November 2009
DOI 10.1016/j.rse.2009.06.017
Authors

Bruce D. Cook, Paul V. Bolstad, Erik Næsset, Ryan S. Anderson, Sebastian Garrigues, Jeffrey T. Morisette, Jaime Nickeson, Kenneth J. Davis

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 6%
Australia 2 1%
Portugal 1 <1%
United Kingdom 1 <1%
France 1 <1%
Argentina 1 <1%
Canada 1 <1%
Unknown 141 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 27%
Researcher 31 20%
Student > Master 24 15%
Student > Doctoral Student 12 8%
Professor > Associate Professor 8 5%
Other 24 15%
Unknown 15 10%
Readers by discipline Count As %
Environmental Science 51 32%
Earth and Planetary Sciences 37 24%
Agricultural and Biological Sciences 23 15%
Computer Science 8 5%
Engineering 7 4%
Other 12 8%
Unknown 19 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 November 2022.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Remote Sensing of Environment
#1,963
of 3,692 outputs
Outputs of similar age
#34,636
of 96,886 outputs
Outputs of similar age from Remote Sensing of Environment
#3
of 10 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,692 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 96,886 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.