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Statistical correction of lidar-derived digital elevation models with multispectral airborne imagery in tidal marshes

Overview of attention for article published in Remote Sensing of Environment, December 2016
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Mentioned by

twitter
1 tweeter

Citations

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16 Dimensions

Readers on

mendeley
50 Mendeley
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Title
Statistical correction of lidar-derived digital elevation models with multispectral airborne imagery in tidal marshes
Published in
Remote Sensing of Environment, December 2016
DOI 10.1016/j.rse.2016.09.020
Authors

Kevin J. Buffington, Bruce D. Dugger, Karen M. Thorne, John Y. Takekawa

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Canada 1 2%
Unknown 48 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 24%
Researcher 10 20%
Student > Master 10 20%
Unspecified 6 12%
Student > Bachelor 4 8%
Other 8 16%
Readers by discipline Count As %
Environmental Science 14 28%
Unspecified 14 28%
Earth and Planetary Sciences 12 24%
Agricultural and Biological Sciences 5 10%
Engineering 3 6%
Other 2 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 April 2018.
All research outputs
#10,260,075
of 12,852,852 outputs
Outputs from Remote Sensing of Environment
#1,585
of 1,834 outputs
Outputs of similar age
#256,740
of 372,643 outputs
Outputs of similar age from Remote Sensing of Environment
#49
of 62 outputs
Altmetric has tracked 12,852,852 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,834 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 6th percentile – i.e., 6% 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 372,643 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.