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Effective and Efficient Query Processing for Video Subsequence Identification

Overview of attention for article published in IEEE Transactions on Knowledge and Data Engineering, August 2008
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Mentioned by

patent
1 patent

Citations

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33 Dimensions

Readers on

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12 Mendeley
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Title
Effective and Efficient Query Processing for Video Subsequence Identification
Published in
IEEE Transactions on Knowledge and Data Engineering, August 2008
DOI 10.1109/tkde.2008.168
Authors

Heng Tao Shen, Jie Shao, Zi Huang, Xiaofang Zhou

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 8%
China 1 8%
Germany 1 8%
Brazil 1 8%
Unknown 8 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Student > Master 2 17%
Other 1 8%
Student > Doctoral Student 1 8%
Student > Bachelor 1 8%
Other 3 25%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 7 58%
Business, Management and Accounting 2 17%
Engineering 2 17%
Unknown 1 8%
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 21 March 2017.
All research outputs
#8,535,684
of 25,377,790 outputs
Outputs from IEEE Transactions on Knowledge and Data Engineering
#455
of 2,365 outputs
Outputs of similar age
#33,972
of 92,606 outputs
Outputs of similar age from IEEE Transactions on Knowledge and Data Engineering
#8
of 25 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,365 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% 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 92,606 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.