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Quantifying spatiotemporal dynamics of urban building and material metabolism by combining a random forest model and GIS-based material flow analysis

Overview of attention for article published in Frontiers in Earth Science, August 2022
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
28 Mendeley
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Title
Quantifying spatiotemporal dynamics of urban building and material metabolism by combining a random forest model and GIS-based material flow analysis
Published in
Frontiers in Earth Science, August 2022
DOI 10.3389/feart.2022.944865
Authors

Ting Mao, Yupeng Liu, Wei-Qiang Chen, Nan Li, Nan Dong, Yao Shi

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

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 14%
Student > Master 2 7%
Student > Ph. D. Student 2 7%
Other 1 4%
Student > Doctoral Student 1 4%
Other 2 7%
Unknown 16 57%
Readers by discipline Count As %
Unspecified 4 14%
Environmental Science 2 7%
Business, Management and Accounting 1 4%
Agricultural and Biological Sciences 1 4%
Computer Science 1 4%
Other 1 4%
Unknown 18 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 2022.
All research outputs
#3,290,940
of 23,330,477 outputs
Outputs from Frontiers in Earth Science
#481
of 4,890 outputs
Outputs of similar age
#68,843
of 434,977 outputs
Outputs of similar age from Frontiers in Earth Science
#20
of 444 outputs
Altmetric has tracked 23,330,477 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,890 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 90% 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 434,977 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 83% of its contemporaries.
We're also able to compare this research output to 444 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.