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Influence of Multi-Source and Multi-Temporal Remotely Sensed and Ancillary Data on the Accuracy of Random Forest Classification of Wetlands in Northern Minnesota

Overview of attention for article published in Remote Sensing, July 2013
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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3 X users

Citations

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181 Dimensions

Readers on

mendeley
253 Mendeley
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Title
Influence of Multi-Source and Multi-Temporal Remotely Sensed and Ancillary Data on the Accuracy of Random Forest Classification of Wetlands in Northern Minnesota
Published in
Remote Sensing, July 2013
DOI 10.3390/rs5073212
Authors

Jennifer M. Corcoran, Joseph F. Knight, Alisa L. Gallant

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 253 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 <1%
Panama 1 <1%
Kenya 1 <1%
Australia 1 <1%
Colombia 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Egypt 1 <1%
Nigeria 1 <1%
Other 0 0%
Unknown 243 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 24%
Student > Master 42 17%
Researcher 27 11%
Student > Bachelor 19 8%
Student > Doctoral Student 14 6%
Other 38 15%
Unknown 52 21%
Readers by discipline Count As %
Environmental Science 59 23%
Earth and Planetary Sciences 56 22%
Agricultural and Biological Sciences 30 12%
Engineering 23 9%
Computer Science 7 3%
Other 13 5%
Unknown 65 26%
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 October 2013.
All research outputs
#15,422,295
of 26,017,215 outputs
Outputs from Remote Sensing
#5,490
of 13,877 outputs
Outputs of similar age
#113,139
of 208,920 outputs
Outputs of similar age from Remote Sensing
#18
of 57 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,877 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 59% 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 208,920 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 57 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 66% of its contemporaries.