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[Papers] Multimodal Important Scene Detection in Far-view Soccer Videos Based on Single Deep Neural Architecture

Overview of attention for article published in ITE Transactions on Media Technology and Applications, April 2020
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Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
8 Mendeley
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Title
[Papers] Multimodal Important Scene Detection in Far-view Soccer Videos Based on Single Deep Neural Architecture
Published in
ITE Transactions on Media Technology and Applications, April 2020
DOI 10.3169/mta.8.89
Authors

Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 13%
Student > Ph. D. Student 1 13%
Student > Master 1 13%
Researcher 1 13%
Student > Postgraduate 1 13%
Other 0 0%
Unknown 3 38%
Readers by discipline Count As %
Sports and Recreations 2 25%
Computer Science 1 13%
Decision Sciences 1 13%
Social Sciences 1 13%
Unknown 3 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 April 2021.
All research outputs
#23,196,947
of 25,852,155 outputs
Outputs from ITE Transactions on Media Technology and Applications
#35
of 42 outputs
Outputs of similar age
#345,139
of 398,451 outputs
Outputs of similar age from ITE Transactions on Media Technology and Applications
#1
of 1 outputs
Altmetric has tracked 25,852,155 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 42 research outputs from this source. They receive a mean Attention Score of 2.3. This one scored the same or higher as 7 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 398,451 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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