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Anomalous behaviour detection based on heterogeneous data and data fusion

Overview of attention for article published in Soft Computing, January 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Readers on

mendeley
56 Mendeley
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Title
Anomalous behaviour detection based on heterogeneous data and data fusion
Published in
Soft Computing, January 2018
DOI 10.1007/s00500-017-2989-5
Authors

Azliza Mohd Ali, Plamen Angelov

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 18%
Student > Ph. D. Student 10 18%
Student > Doctoral Student 4 7%
Student > Bachelor 3 5%
Professor 2 4%
Other 8 14%
Unknown 19 34%
Readers by discipline Count As %
Computer Science 22 39%
Engineering 8 14%
Business, Management and Accounting 1 2%
Philosophy 1 2%
Earth and Planetary Sciences 1 2%
Other 1 2%
Unknown 22 39%
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 07 December 2022.
All research outputs
#8,693,470
of 25,756,911 outputs
Outputs from Soft Computing
#110
of 560 outputs
Outputs of similar age
#161,511
of 451,915 outputs
Outputs of similar age from Soft Computing
#2
of 11 outputs
Altmetric has tracked 25,756,911 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 560 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 57% 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 451,915 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 51% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.