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An approach for mapping large-area impervious surfaces: synergistic use of Landsat-7 ETM+ and high spatial resolution imagery

Overview of attention for article published in Canadian Journal of Remote Sensing, June 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#47 of 331)
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

policy
1 policy source
patent
1 patent

Readers on

mendeley
228 Mendeley
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Title
An approach for mapping large-area impervious surfaces: synergistic use of Landsat-7 ETM+ and high spatial resolution imagery
Published in
Canadian Journal of Remote Sensing, June 2014
DOI 10.5589/m02-098
Authors

Limin Yang, Chengquan Huang, Collin G Homer, Bruce K Wylie, Michael J Coan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 4%
Germany 2 <1%
Brazil 2 <1%
Italy 1 <1%
Switzerland 1 <1%
Bangladesh 1 <1%
Denmark 1 <1%
Belgium 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 208 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 52 23%
Student > Ph. D. Student 45 20%
Student > Master 27 12%
Student > Bachelor 16 7%
Professor 9 4%
Other 38 17%
Unknown 41 18%
Readers by discipline Count As %
Environmental Science 66 29%
Earth and Planetary Sciences 60 26%
Agricultural and Biological Sciences 19 8%
Engineering 14 6%
Social Sciences 6 3%
Other 13 6%
Unknown 50 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 January 2024.
All research outputs
#5,402,691
of 25,287,709 outputs
Outputs from Canadian Journal of Remote Sensing
#47
of 331 outputs
Outputs of similar age
#48,808
of 233,905 outputs
Outputs of similar age from Canadian Journal of Remote Sensing
#13
of 76 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 331 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 83% 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 233,905 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 77% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.