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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, January 2013
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About this Attention Score

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

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
114 Mendeley
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, January 2013
DOI 10.3390/rs5073212
Authors

Jennifer Corcoran, Joseph Knight, Alisa Gallant

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 2%
United Kingdom 2 2%
Brazil 2 2%
Australia 1 <1%
Nigeria 1 <1%
Kenya 1 <1%
Egypt 1 <1%
Panama 1 <1%
Austria 1 <1%
Other 2 2%
Unknown 100 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 35%
Student > Master 18 16%
Researcher 15 13%
Student > Postgraduate 9 8%
Unspecified 9 8%
Other 23 20%
Readers by discipline Count As %
Earth and Planetary Sciences 36 32%
Environmental Science 32 28%
Agricultural and Biological Sciences 18 16%
Unspecified 16 14%
Computer Science 5 4%
Other 7 6%

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
#2,047,948
of 6,241,369 outputs
Outputs from Remote Sensing
#320
of 1,651 outputs
Outputs of similar age
#32,147
of 104,639 outputs
Outputs of similar age from Remote Sensing
#2
of 4 outputs
Altmetric has tracked 6,241,369 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,651 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 79% 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 104,639 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.