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Fast and intuitive generation of geometric shape transitions

Overview of attention for article published in Visual Computer, June 2000
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About this Attention Score

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

Mentioned by

patent
3 patents

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
37 Mendeley
citeulike
1 CiteULike
Title
Fast and intuitive generation of geometric shape transitions
Published in
Visual Computer, June 2000
DOI 10.1007/pl00013396
Authors

Malte Zöckler, Detlev Stalling, Hans-Christian Hege

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 11%
Australia 2 5%
Norway 1 3%
Canada 1 3%
Unknown 29 78%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 43%
Researcher 8 22%
Student > Master 4 11%
Student > Doctoral Student 3 8%
Student > Bachelor 2 5%
Other 4 11%
Readers by discipline Count As %
Computer Science 23 62%
Engineering 10 27%
Agricultural and Biological Sciences 2 5%
Social Sciences 1 3%
Unspecified 1 3%
Other 0 0%

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 January 2015.
All research outputs
#3,498,491
of 12,219,721 outputs
Outputs from Visual Computer
#84
of 371 outputs
Outputs of similar age
#96,357
of 260,552 outputs
Outputs of similar age from Visual Computer
#1
of 1 outputs
Altmetric has tracked 12,219,721 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 371 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 16th percentile – i.e., 16% 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 260,552 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 1 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