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The Global 2000-2020 Land Cover and Land Use Change Dataset Derived From the Landsat Archive: First Results

Overview of attention for article published in Frontiers in Remote Sensing, April 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)

Mentioned by

news
7 news outlets
blogs
2 blogs
policy
1 policy source
twitter
74 X users
facebook
1 Facebook page

Citations

dimensions_citation
164 Dimensions

Readers on

mendeley
426 Mendeley
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Title
The Global 2000-2020 Land Cover and Land Use Change Dataset Derived From the Landsat Archive: First Results
Published in
Frontiers in Remote Sensing, April 2022
DOI 10.3389/frsen.2022.856903
Authors

Peter Potapov, Matthew C. Hansen, Amy Pickens, Andres Hernandez-Serna, Alexandra Tyukavina, Svetlana Turubanova, Viviana Zalles, Xinyuan Li, Ahmad Khan, Fred Stolle, Nancy Harris, Xiao-Peng Song, Antoine Baggett, Indrani Kommareddy, Anil Kommareddy

X Demographics

X Demographics

The data shown below were collected from the profiles of 74 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 426 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 426 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 14%
Researcher 52 12%
Student > Master 41 10%
Student > Bachelor 20 5%
Lecturer 17 4%
Other 62 15%
Unknown 176 41%
Readers by discipline Count As %
Environmental Science 87 20%
Agricultural and Biological Sciences 33 8%
Earth and Planetary Sciences 31 7%
Engineering 28 7%
Social Sciences 14 3%
Other 40 9%
Unknown 193 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 120. 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 September 2023.
All research outputs
#359,549
of 25,992,468 outputs
Outputs from Frontiers in Remote Sensing
#1
of 1 outputs
Outputs of similar age
#9,845
of 451,947 outputs
Outputs of similar age from Frontiers in Remote Sensing
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 119.8. This one scored the same or higher as 0 of them.
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 451,947 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 97% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them