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Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors

Overview of attention for article published in Remote Sensing of Environment, May 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

policy
4 policy sources
twitter
25 X users

Citations

dimensions_citation
2210 Dimensions

Readers on

mendeley
2411 Mendeley
citeulike
4 CiteULike
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Title
Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors
Published in
Remote Sensing of Environment, May 2009
DOI 10.1016/j.rse.2009.01.007
Authors

Gyanesh Chander, Brian L. Markham, Dennis L. Helder

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 2,411 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 26 1%
Brazil 22 <1%
Australia 9 <1%
Chile 8 <1%
United Kingdom 7 <1%
Canada 6 <1%
Argentina 5 <1%
Spain 4 <1%
Belgium 4 <1%
Other 52 2%
Unknown 2268 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 503 21%
Student > Ph. D. Student 444 18%
Researcher 349 14%
Student > Bachelor 195 8%
Student > Doctoral Student 136 6%
Other 372 15%
Unknown 412 17%
Readers by discipline Count As %
Environmental Science 633 26%
Earth and Planetary Sciences 567 24%
Agricultural and Biological Sciences 272 11%
Engineering 196 8%
Social Sciences 51 2%
Other 166 7%
Unknown 526 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 11 February 2022.
All research outputs
#1,397,804
of 26,017,215 outputs
Outputs from Remote Sensing of Environment
#270
of 4,359 outputs
Outputs of similar age
#3,702
of 108,017 outputs
Outputs of similar age from Remote Sensing of Environment
#1
of 17 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,359 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 87% 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 108,017 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.