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A methodology for balancing the preservation of area, shape, and topological properties in polygon-to-raster conversion

Overview of attention for article published in Cartography and Geographic Information Science, November 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
5 Mendeley
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Title
A methodology for balancing the preservation of area, shape, and topological properties in polygon-to-raster conversion
Published in
Cartography and Geographic Information Science, November 2021
DOI 10.1080/15230406.2021.1991478
Authors

Xiaolong Huo, Chen Zhou, Yunyun Xu, Manchun Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 20%
Student > Bachelor 1 20%
Unknown 3 60%
Readers by discipline Count As %
Earth and Planetary Sciences 1 20%
Engineering 1 20%
Unknown 3 60%
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 01 December 2021.
All research outputs
#14,063,113
of 23,310,485 outputs
Outputs from Cartography and Geographic Information Science
#197
of 285 outputs
Outputs of similar age
#199,159
of 436,771 outputs
Outputs of similar age from Cartography and Geographic Information Science
#6
of 7 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 285 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 29th percentile – i.e., 29% 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 436,771 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 52% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.