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Using NASA Earth observations and Google Earth Engine to map winter cover crop conservation performance in the Chesapeake Bay watershed

Overview of attention for article published in Remote Sensing of Environment, October 2020
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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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
153 Mendeley
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Title
Using NASA Earth observations and Google Earth Engine to map winter cover crop conservation performance in the Chesapeake Bay watershed
Published in
Remote Sensing of Environment, October 2020
DOI 10.1016/j.rse.2020.111943
Authors

Alison Thieme, Sunita Yadav, Perry C. Oddo, John M. Fitz, Sean McCartney, LeeAnn King, Jason Keppler, Gregory W. McCarty, W. Dean Hively

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 153 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 16%
Student > Master 24 16%
Student > Ph. D. Student 19 12%
Student > Doctoral Student 13 8%
Student > Bachelor 10 7%
Other 21 14%
Unknown 42 27%
Readers by discipline Count As %
Environmental Science 22 14%
Agricultural and Biological Sciences 22 14%
Earth and Planetary Sciences 22 14%
Engineering 16 10%
Computer Science 6 4%
Other 13 8%
Unknown 52 34%
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 28 January 2021.
All research outputs
#3,337,761
of 25,387,668 outputs
Outputs from Remote Sensing of Environment
#853
of 3,694 outputs
Outputs of similar age
#83,840
of 432,252 outputs
Outputs of similar age from Remote Sensing of Environment
#23
of 78 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,694 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 77% 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 432,252 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 80% of its contemporaries.
We're also able to compare this research output to 78 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.