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Model fusion of deep neural networks for anomaly detection

Overview of attention for article published in Journal of Big Data, August 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

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11 Dimensions

Readers on

mendeley
36 Mendeley
Title
Model fusion of deep neural networks for anomaly detection
Published in
Journal of Big Data, August 2021
DOI 10.1186/s40537-021-00496-w
Authors

Nouar AlDahoul, Hezerul Abdul Karim, Abdulaziz Saleh Ba Wazir

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Student > Master 3 8%
Lecturer 2 6%
Student > Doctoral Student 2 6%
Researcher 2 6%
Other 5 14%
Unknown 14 39%
Readers by discipline Count As %
Computer Science 14 39%
Engineering 4 11%
Agricultural and Biological Sciences 2 6%
Decision Sciences 1 3%
Psychology 1 3%
Other 0 0%
Unknown 14 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 September 2023.
All research outputs
#15,897,635
of 24,397,980 outputs
Outputs from Journal of Big Data
#214
of 365 outputs
Outputs of similar age
#236,191
of 422,690 outputs
Outputs of similar age from Journal of Big Data
#10
of 12 outputs
Altmetric has tracked 24,397,980 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 365 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 41st percentile – i.e., 41% 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 422,690 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.