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Velocity-based modeling of physical interactions in dense crowds

Overview of attention for article published in The Visual Computer, June 2014
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Mentioned by

video
1 YouTube creator

Citations

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61 Dimensions

Readers on

mendeley
47 Mendeley
citeulike
1 CiteULike
Title
Velocity-based modeling of physical interactions in dense crowds
Published in
The Visual Computer, June 2014
DOI 10.1007/s00371-014-0946-1
Authors

Sujeong Kim, Stephen J. Guy, Karl Hillesland, Basim Zafar, Adnan Abdul-Aziz Gutub, Dinesh Manocha

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Malaysia 1 2%
Unknown 45 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Lecturer 4 9%
Professor > Associate Professor 4 9%
Student > Bachelor 4 9%
Student > Master 4 9%
Other 12 26%
Unknown 9 19%
Readers by discipline Count As %
Computer Science 19 40%
Engineering 6 13%
Business, Management and Accounting 2 4%
Mathematics 2 4%
Nursing and Health Professions 1 2%
Other 4 9%
Unknown 13 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 February 2015.
All research outputs
#21,164,509
of 23,815,455 outputs
Outputs from The Visual Computer
#742
of 1,264 outputs
Outputs of similar age
#195,252
of 229,530 outputs
Outputs of similar age from The Visual Computer
#8
of 9 outputs
Altmetric has tracked 23,815,455 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 is in the 1st percentile – i.e., 1% 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 229,530 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.