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Implicit modeling from polygon soup using convolution

Overview of attention for article published in The Visual Computer, July 2008
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Mentioned by

patent
1 patent

Citations

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22 Dimensions

Readers on

mendeley
8 Mendeley
Title
Implicit modeling from polygon soup using convolution
Published in
The Visual Computer, July 2008
DOI 10.1007/s00371-008-0267-3
Authors

Xiaogang Jin, Chiew-Lan Tai, Hailin Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 25%
Professor 1 13%
Student > Bachelor 1 13%
Student > Ph. D. Student 1 13%
Unknown 3 38%
Readers by discipline Count As %
Computer Science 4 50%
Nursing and Health Professions 1 13%
Mathematics 1 13%
Unknown 2 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 March 2018.
All research outputs
#7,856,604
of 23,815,455 outputs
Outputs from The Visual Computer
#169
of 1,264 outputs
Outputs of similar age
#29,313
of 82,806 outputs
Outputs of similar age from The Visual Computer
#5
of 12 outputs
Altmetric has tracked 23,815,455 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,264 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 62% 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 82,806 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.