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High-resolution calculation of the urban vegetation fraction in the Pearl River Delta from the Sentinel-2 NDVI for urban climate model parameterization

Overview of attention for article published in Geoscience Letters, March 2019
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Mentioned by

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1 Facebook page

Citations

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27 Dimensions

Readers on

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75 Mendeley
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Title
High-resolution calculation of the urban vegetation fraction in the Pearl River Delta from the Sentinel-2 NDVI for urban climate model parameterization
Published in
Geoscience Letters, March 2019
DOI 10.1186/s40562-019-0132-4
Authors

Michael Mau Fung Wong, Jimmy Chi Hung Fung, Peter Pak Shing Yeung

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 15%
Student > Ph. D. Student 8 11%
Student > Master 7 9%
Student > Bachelor 5 7%
Other 4 5%
Other 12 16%
Unknown 28 37%
Readers by discipline Count As %
Environmental Science 14 19%
Engineering 7 9%
Agricultural and Biological Sciences 6 8%
Earth and Planetary Sciences 3 4%
Computer Science 2 3%
Other 9 12%
Unknown 34 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 30 July 2019.
All research outputs
#20,576,009
of 23,153,184 outputs
Outputs from Geoscience Letters
#184
of 192 outputs
Outputs of similar age
#304,947
of 354,087 outputs
Outputs of similar age from Geoscience Letters
#2
of 2 outputs
Altmetric has tracked 23,153,184 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 192 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 354,087 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.