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A simple and effective radiometric correction method to improve landscape change detection across sensors and across time

Overview of attention for article published in Remote Sensing of Environment, September 2005
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Mentioned by

policy
1 policy source

Readers on

mendeley
459 Mendeley
citeulike
1 CiteULike
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Title
A simple and effective radiometric correction method to improve landscape change detection across sensors and across time
Published in
Remote Sensing of Environment, September 2005
DOI 10.1016/j.rse.2005.05.021
Authors

Xuexia Chen, Lee Vierling, Don Deering

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 459 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 1%
Germany 5 1%
Australia 5 1%
Spain 3 <1%
Mexico 3 <1%
Brazil 3 <1%
India 2 <1%
South Africa 2 <1%
China 2 <1%
Other 13 3%
Unknown 415 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 107 23%
Researcher 95 21%
Student > Master 72 16%
Student > Bachelor 32 7%
Student > Doctoral Student 21 5%
Other 70 15%
Unknown 62 14%
Readers by discipline Count As %
Environmental Science 137 30%
Earth and Planetary Sciences 110 24%
Agricultural and Biological Sciences 59 13%
Engineering 37 8%
Computer Science 10 2%
Other 24 5%
Unknown 82 18%
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 29 January 2013.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Remote Sensing of Environment
#1,963
of 3,692 outputs
Outputs of similar age
#24,956
of 69,132 outputs
Outputs of similar age from Remote Sensing of Environment
#7
of 14 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 27th percentile – i.e., 27% 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 69,132 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.