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Production model based digital video segmentation

Overview of attention for article published in Multimedia Tools and Applications, March 1995
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Mentioned by

patent
10 patents

Citations

dimensions_citation
141 Dimensions

Readers on

mendeley
42 Mendeley
Title
Production model based digital video segmentation
Published in
Multimedia Tools and Applications, March 1995
DOI 10.1007/bf01261224
Authors

Arun Hampapur, Ramesh Jain, Terry E Weymouth

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 2%
France 1 2%
Italy 1 2%
China 1 2%
United States 1 2%
Unknown 37 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 40%
Researcher 7 17%
Student > Master 4 10%
Student > Doctoral Student 3 7%
Lecturer 2 5%
Other 5 12%
Unknown 4 10%
Readers by discipline Count As %
Computer Science 21 50%
Arts and Humanities 3 7%
Engineering 3 7%
Agricultural and Biological Sciences 3 7%
Business, Management and Accounting 2 5%
Other 3 7%
Unknown 7 17%
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 11 October 2022.
All research outputs
#7,942,395
of 23,906,448 outputs
Outputs from Multimedia Tools and Applications
#316
of 4,321 outputs
Outputs of similar age
#7,801
of 25,188 outputs
Outputs of similar age from Multimedia Tools and Applications
#3
of 3 outputs
Altmetric has tracked 23,906,448 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 4,321 research outputs from this source. They receive a mean Attention Score of 1.3. This one has done well, scoring higher than 82% 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 25,188 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 3 others from the same source and published within six weeks on either side of this one.