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Constructing multi-level urban clusters based on population distributions and interactions

Overview of attention for article published in Computers, Environment & Urban Systems, January 2023
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Mentioned by

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4 X users

Citations

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8 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Constructing multi-level urban clusters based on population distributions and interactions
Published in
Computers, Environment & Urban Systems, January 2023
DOI 10.1016/j.compenvurbsys.2022.101897
Authors

Wenpu Cao, Lei Dong, Ying Cheng, Lun Wu, Qinghua Guo, Yu Liu

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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 20%
Professor > Associate Professor 2 13%
Student > Ph. D. Student 2 13%
Unspecified 1 7%
Researcher 1 7%
Other 1 7%
Unknown 5 33%
Readers by discipline Count As %
Social Sciences 3 20%
Economics, Econometrics and Finance 2 13%
Unspecified 1 7%
Earth and Planetary Sciences 1 7%
Unknown 8 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 November 2022.
All research outputs
#16,279,421
of 25,707,225 outputs
Outputs from Computers, Environment & Urban Systems
#461
of 629 outputs
Outputs of similar age
#235,073
of 479,289 outputs
Outputs of similar age from Computers, Environment & Urban Systems
#10
of 17 outputs
Altmetric has tracked 25,707,225 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 629 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 23rd percentile – i.e., 23% 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 479,289 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.