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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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1 X user

Citations

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58 Dimensions

Readers on

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111 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

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 110 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 22%
Researcher 22 20%
Student > Master 20 18%
Student > Bachelor 6 5%
Other 4 4%
Other 12 11%
Unknown 23 21%
Readers by discipline Count As %
Environmental Science 37 33%
Earth and Planetary Sciences 19 17%
Engineering 9 8%
Agricultural and Biological Sciences 8 7%
Business, Management and Accounting 1 <1%
Other 4 4%
Unknown 33 30%
Attention Score in Context

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 26 October 2020.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from Remote Sensing of Environment
#3,372
of 3,692 outputs
Outputs of similar age
#313,409
of 416,453 outputs
Outputs of similar age from Remote Sensing of Environment
#56
of 67 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 2nd percentile – i.e., 2% 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 416,453 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.