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Monitoring finer-scale population density in urban functional zones: A remote sensing data fusion approach

Overview of attention for article published in Landscape & Urban Planning, October 2019
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Mentioned by

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1 X user

Citations

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61 Dimensions

Readers on

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74 Mendeley
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Title
Monitoring finer-scale population density in urban functional zones: A remote sensing data fusion approach
Published in
Landscape & Urban Planning, October 2019
DOI 10.1016/j.landurbplan.2019.05.011
Authors

Jinchao Song, Xiaoye Tong, Lizhe Wang, Chunli Zhao, Alexander V. Prishchepov

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 22%
Student > Master 11 15%
Lecturer 6 8%
Researcher 4 5%
Professor > Associate Professor 4 5%
Other 9 12%
Unknown 24 32%
Readers by discipline Count As %
Computer Science 12 16%
Earth and Planetary Sciences 8 11%
Environmental Science 5 7%
Social Sciences 4 5%
Business, Management and Accounting 3 4%
Other 13 18%
Unknown 29 39%
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 05 June 2019.
All research outputs
#20,667,544
of 25,385,509 outputs
Outputs from Landscape & Urban Planning
#1,979
of 2,162 outputs
Outputs of similar age
#276,154
of 362,793 outputs
Outputs of similar age from Landscape & Urban Planning
#59
of 67 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,162 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one is in the 2nd percentile – i.e., 2% 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 362,793 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.