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Beaver pond identification from multi-temporal and multi- sourced remote sensing data

Overview of attention for article published in Geo-Spatial Information Science, April 2023
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About this Attention Score

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

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Beaver pond identification from multi-temporal and multi- sourced remote sensing data
Published in
Geo-Spatial Information Science, April 2023
DOI 10.1080/10095020.2023.2183144
Authors

Wen Zhang, Baoxin Hu, Glen Brown, Shawn Meyer

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 12%
Professor 2 12%
Student > Master 2 12%
Researcher 2 12%
Student > Ph. D. Student 1 6%
Other 2 12%
Unknown 6 35%
Readers by discipline Count As %
Environmental Science 5 29%
Engineering 3 18%
Arts and Humanities 1 6%
Immunology and Microbiology 1 6%
Agricultural and Biological Sciences 1 6%
Other 0 0%
Unknown 6 35%
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 09 May 2023.
All research outputs
#17,649,214
of 25,870,142 outputs
Outputs from Geo-Spatial Information Science
#143
of 316 outputs
Outputs of similar age
#250,921
of 426,039 outputs
Outputs of similar age from Geo-Spatial Information Science
#4
of 10 outputs
Altmetric has tracked 25,870,142 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 316 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 43rd percentile – i.e., 43% 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 426,039 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% 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 6 of them.