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Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data

Overview of attention for article published in Remote Sensing, December 2015
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

policy
1 policy source
twitter
12 X users
facebook
3 Facebook pages

Readers on

mendeley
725 Mendeley
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Article details
Title
Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data
Published in
Remote Sensing, December 2015
DOI 10.3390/rs71215841
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 725 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Poland 1 <1%
India 1 <1%
Brazil 1 <1%
Belgium 1 <1%
Unknown 721 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 131 18%
Researcher 102 14%
Student > Master 90 12%
Student > Doctoral Student 53 7%
Student > Bachelor 34 5%
Other 86 12%
Unknown 229 32%
Readers by discipline
Readers by discipline Count As %
Earth and Planetary Sciences 113 16%
Environmental Science 92 13%
Agricultural and Biological Sciences 90 12%
Engineering 80 11%
Computer Science 39 5%
Other 52 7%
Unknown 259 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 January 2025.
All research outputs
#3,580,348
of 28,036,136 outputs
Outputs from Remote Sensing
#1,112
of 15,002 outputs
Outputs of similar age
#51,716
of 401,957 outputs
Outputs of similar age from Remote Sensing
#9
of 156 outputs
Altmetric has tracked 28,036,136 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 15,002 research outputs from this source. They receive a mean Attention Score of 4.5. 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 401,957 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 87% of its contemporaries.
We're also able to compare this research output to 156 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.