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Integrating Radarsat-2, Lidar, and Worldview-3 Imagery to Maximize Detection of Forested Inundation Extent in the Delmarva Peninsula, USA

Overview of attention for article published in Remote Sensing, January 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
40 Mendeley
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Title
Integrating Radarsat-2, Lidar, and Worldview-3 Imagery to Maximize Detection of Forested Inundation Extent in the Delmarva Peninsula, USA
Published in
Remote Sensing, January 2017
DOI 10.3390/rs9020105
Authors

Melanie K. Vanderhoof, Hayley E. Distler, Di Ana Teresa G. Mendiola, Megan Lang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Netherlands 1 3%
Unknown 38 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 20%
Student > Master 8 20%
Researcher 6 15%
Professor 3 8%
Student > Postgraduate 2 5%
Other 6 15%
Unknown 7 18%
Readers by discipline Count As %
Earth and Planetary Sciences 7 18%
Environmental Science 6 15%
Agricultural and Biological Sciences 5 13%
Engineering 4 10%
Social Sciences 2 5%
Other 1 3%
Unknown 15 38%
Attention Score in Context

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 04 November 2019.
All research outputs
#14,881,084
of 24,406,678 outputs
Outputs from Remote Sensing
#5,051
of 12,514 outputs
Outputs of similar age
#227,017
of 427,074 outputs
Outputs of similar age from Remote Sensing
#87
of 270 outputs
Altmetric has tracked 24,406,678 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,514 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 58% 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 427,074 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 270 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.