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Contextual anomaly detection framework for big sensor data

Overview of attention for article published in Journal of Big Data, February 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
246 Mendeley
Title
Contextual anomaly detection framework for big sensor data
Published in
Journal of Big Data, February 2015
DOI 10.1186/s40537-014-0011-y
Authors

Michael A Hayes, Miriam AM Capretz

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 246 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 <1%
United States 1 <1%
Germany 1 <1%
Italy 1 <1%
Unknown 242 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 56 23%
Student > Ph. D. Student 49 20%
Researcher 21 9%
Student > Bachelor 12 5%
Professor 11 4%
Other 44 18%
Unknown 53 22%
Readers by discipline Count As %
Computer Science 124 50%
Engineering 31 13%
Business, Management and Accounting 8 3%
Mathematics 3 1%
Decision Sciences 3 1%
Other 16 7%
Unknown 61 25%
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 11 April 2023.
All research outputs
#7,755,290
of 23,577,761 outputs
Outputs from Journal of Big Data
#135
of 356 outputs
Outputs of similar age
#88,198
of 256,897 outputs
Outputs of similar age from Journal of Big Data
#3
of 3 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 356 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has gotten more attention than average, scoring higher than 58% 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 256,897 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 55% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.