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Content-Based Video Recommendation System Based on Stylistic Visual Features

Overview of attention for article published in Journal on Data Semantics, February 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

patent
2 patents
wikipedia
1 Wikipedia page

Readers on

mendeley
201 Mendeley
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Article details
Title
Content-Based Video Recommendation System Based on Stylistic Visual Features
Published in
Journal on Data Semantics, February 2016
DOI 10.1007/s13740-016-0060-9
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Singapore 1 <1%
Portugal 1 <1%
Poland 1 <1%
Unknown 198 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 37 18%
Student > Ph. D. Student 21 10%
Student > Bachelor 15 7%
Researcher 13 6%
Student > Postgraduate 7 3%
Other 20 10%
Unknown 88 44%
Readers by discipline
Readers by discipline Count As %
Computer Science 83 41%
Business, Management and Accounting 7 3%
Engineering 5 2%
Arts and Humanities 4 2%
Social Sciences 4 2%
Other 9 4%
Unknown 89 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 September 2022.
All research outputs
#6,572,040
of 30,385,879 outputs
Outputs from Journal on Data Semantics
#2
of 22 outputs
Outputs of similar age
#92,774
of 428,600 outputs
Outputs of similar age from Journal on Data Semantics
#1
of 1 outputs
Altmetric has tracked 30,385,879 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 22 research outputs from this source. They receive a mean Attention Score of 2.4. This one scored the same or higher as 20 of them.
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 428,600 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% 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