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A multi‐scale segmentation approach to filling gaps in Landsat ETM+ SLC‐off images

Overview of attention for article published in International Journal of Remote Sensing, November 2007
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

patent
1 patent
linkedin
1 LinkedIn user

Citations

dimensions_citation
104 Dimensions

Readers on

mendeley
93 Mendeley
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Title
A multi‐scale segmentation approach to filling gaps in Landsat ETM+ SLC‐off images
Published in
International Journal of Remote Sensing, November 2007
DOI 10.1080/01431160601034902
Authors

S. K. Maxwell, G. L. Schmidt, J. C. Storey

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Brazil 2 2%
Chile 1 1%
Switzerland 1 1%
Nepal 1 1%
Canada 1 1%
Germany 1 1%
Unknown 83 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 27%
Researcher 21 23%
Student > Ph. D. Student 20 22%
Student > Doctoral Student 7 8%
Professor 2 2%
Other 7 8%
Unknown 11 12%
Readers by discipline Count As %
Environmental Science 27 29%
Earth and Planetary Sciences 27 29%
Agricultural and Biological Sciences 6 6%
Computer Science 6 6%
Engineering 6 6%
Other 5 5%
Unknown 16 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 April 2014.
All research outputs
#2,736,083
of 10,946,632 outputs
Outputs from International Journal of Remote Sensing
#125
of 655 outputs
Outputs of similar age
#27,169
of 113,784 outputs
Outputs of similar age from International Journal of Remote Sensing
#1
of 10 outputs
Altmetric has tracked 10,946,632 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 655 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 80% 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 113,784 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
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 all of them