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Automatic modeling of virtual humans and body clothing

Overview of attention for article published in Journal of Computer Science and Technology, September 2004
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About this Attention Score

  • Among the highest-scoring outputs from this source (#48 of 230)

Mentioned by

patent
5 patents

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
46 Mendeley
Title
Automatic modeling of virtual humans and body clothing
Published in
Journal of Computer Science and Technology, September 2004
DOI 10.1007/bf02945583
Authors

Nadia Magnenat-Thalmann, Hyewon Seo, Frederic Cordier

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Bangladesh 1 2%
Turkey 1 2%
Italy 1 2%
Vietnam 1 2%
United States 1 2%
Unknown 41 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 26%
Researcher 9 20%
Student > Master 5 11%
Student > Bachelor 4 9%
Professor > Associate Professor 4 9%
Other 6 13%
Unknown 6 13%
Readers by discipline Count As %
Computer Science 23 50%
Engineering 10 22%
Mathematics 2 4%
Business, Management and Accounting 1 2%
Agricultural and Biological Sciences 1 2%
Other 3 7%
Unknown 6 13%
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 02 November 2021.
All research outputs
#7,942,395
of 23,911,072 outputs
Outputs from Journal of Computer Science and Technology
#48
of 230 outputs
Outputs of similar age
#20,005
of 60,668 outputs
Outputs of similar age from Journal of Computer Science and Technology
#1
of 2 outputs
Altmetric has tracked 23,911,072 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 230 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 19th percentile – i.e., 19% 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 60,668 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them