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Fast segmentation of range images into planar regions by scan line grouping

Overview of attention for article published in Machine Vision and Applications, June 1994
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Mentioned by

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1 patent

Citations

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145 Dimensions

Readers on

mendeley
55 Mendeley
Title
Fast segmentation of range images into planar regions by scan line grouping
Published in
Machine Vision and Applications, June 1994
DOI 10.1007/bf01215806
Authors

Xiaoyi Jiang, Horst Bunke

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Germany 1 2%
France 1 2%
Turkey 1 2%
Korea, Republic of 1 2%
Spain 1 2%
Unknown 48 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 33%
Student > Master 12 22%
Researcher 8 15%
Student > Doctoral Student 4 7%
Professor > Associate Professor 4 7%
Other 5 9%
Unknown 4 7%
Readers by discipline Count As %
Engineering 23 42%
Computer Science 21 38%
Earth and Planetary Sciences 5 9%
Mathematics 2 4%
Unknown 4 7%
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 1999.
All research outputs
#7,845,540
of 23,794,258 outputs
Outputs from Machine Vision and Applications
#162
of 551 outputs
Outputs of similar age
#6,727
of 22,940 outputs
Outputs of similar age from Machine Vision and Applications
#1
of 1 outputs
Altmetric has tracked 23,794,258 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 551 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 40th percentile – i.e., 40% 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 22,940 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
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