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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

policy
1 policy source
twitter
28 tweeters

Citations

dimensions_citation
1518 Dimensions

Readers on

mendeley
1727 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

Twitter Demographics

The data shown below were collected from the profiles of 28 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 1,727 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 28 2%
Brazil 23 1%
Chile 9 <1%
Australia 9 <1%
United Kingdom 7 <1%
Canada 6 <1%
Argentina 5 <1%
China 4 <1%
South Africa 4 <1%
Other 58 3%
Unknown 1574 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 408 24%
Student > Ph. D. Student 388 22%
Researcher 282 16%
Student > Bachelor 131 8%
Student > Doctoral Student 109 6%
Other 289 17%
Unknown 120 7%
Readers by discipline Count As %
Environmental Science 534 31%
Earth and Planetary Sciences 486 28%
Agricultural and Biological Sciences 203 12%
Engineering 138 8%
Computer Science 40 2%
Other 119 7%
Unknown 207 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 14 March 2019.
All research outputs
#887,293
of 15,376,621 outputs
Outputs from Remote Sensing of Environment
#175
of 2,292 outputs
Outputs of similar age
#31,366
of 387,853 outputs
Outputs of similar age from Remote Sensing of Environment
#5
of 64 outputs
Altmetric has tracked 15,376,621 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 2,292 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done particularly well, scoring higher than 92% 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 387,853 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 91% of its contemporaries.
We're also able to compare this research output to 64 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 92% of its contemporaries.