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Morphological tessellation as a way of partitioning space: Improving consistency in urban morphology at the plot scale

Overview of attention for article published in Computers, Environment & Urban Systems, March 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
96 Mendeley
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Title
Morphological tessellation as a way of partitioning space: Improving consistency in urban morphology at the plot scale
Published in
Computers, Environment & Urban Systems, March 2020
DOI 10.1016/j.compenvurbsys.2019.101441
Authors

Martin Fleischmann, Alessandra Feliciotti, Ombretta Romice, Sergio Porta

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 22%
Researcher 14 15%
Student > Master 12 13%
Student > Doctoral Student 6 6%
Student > Bachelor 4 4%
Other 11 11%
Unknown 28 29%
Readers by discipline Count As %
Social Sciences 12 13%
Engineering 10 10%
Design 9 9%
Earth and Planetary Sciences 8 8%
Environmental Science 6 6%
Other 20 21%
Unknown 31 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 May 2021.
All research outputs
#7,854,022
of 25,387,668 outputs
Outputs from Computers, Environment & Urban Systems
#218
of 620 outputs
Outputs of similar age
#141,967
of 383,477 outputs
Outputs of similar age from Computers, Environment & Urban Systems
#4
of 11 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 620 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has gotten more attention than average, scoring higher than 64% 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 383,477 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.