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Deep anomaly detection through visual attention in surveillance videos

Overview of attention for article published in Journal of Big Data, October 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
84 Mendeley
Title
Deep anomaly detection through visual attention in surveillance videos
Published in
Journal of Big Data, October 2020
DOI 10.1186/s40537-020-00365-y
Authors

Nasaruddin Nasaruddin, Kahlil Muchtar, Afdhal Afdhal, Alvin Prayuda Juniarta Dwiyantoro

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 17%
Student > Master 13 15%
Student > Bachelor 5 6%
Researcher 3 4%
Other 2 2%
Other 12 14%
Unknown 35 42%
Readers by discipline Count As %
Computer Science 23 27%
Engineering 12 14%
Social Sciences 2 2%
Business, Management and Accounting 1 1%
Agricultural and Biological Sciences 1 1%
Other 4 5%
Unknown 41 49%
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 18 November 2022.
All research outputs
#4,817,174
of 23,253,955 outputs
Outputs from Journal of Big Data
#86
of 350 outputs
Outputs of similar age
#118,441
of 416,546 outputs
Outputs of similar age from Journal of Big Data
#5
of 21 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 350 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 75% 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 416,546 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.