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Transfer learning in environmental remote sensing

Overview of attention for article published in Remote Sensing of Environment, February 2024
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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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
17 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
118 Mendeley
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Title
Transfer learning in environmental remote sensing
Published in
Remote Sensing of Environment, February 2024
DOI 10.1016/j.rse.2023.113924
Authors

Yuchi Ma, Shuo Chen, Stefano Ermon, David B. Lobell

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 12%
Researcher 13 11%
Unspecified 9 8%
Student > Master 8 7%
Student > Doctoral Student 7 6%
Other 22 19%
Unknown 45 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 12%
Environmental Science 14 12%
Computer Science 11 9%
Unspecified 10 8%
Earth and Planetary Sciences 10 8%
Other 11 9%
Unknown 48 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 01 February 2024.
All research outputs
#3,216,223
of 26,397,269 outputs
Outputs from Remote Sensing of Environment
#824
of 3,877 outputs
Outputs of similar age
#49,396
of 379,769 outputs
Outputs of similar age from Remote Sensing of Environment
#16
of 55 outputs
Altmetric has tracked 26,397,269 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,877 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 78% 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 379,769 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 86% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.