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An approach to the correlation of security events based on machine learning techniques

Overview of attention for article published in Journal of Internet Services and Applications, March 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#21 of 183)
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
4 X users
patent
3 patents
googleplus
1 Google+ user

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
94 Mendeley
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Title
An approach to the correlation of security events based on machine learning techniques
Published in
Journal of Internet Services and Applications, March 2013
DOI 10.1186/1869-0238-4-7
Authors

Kleber Stroeh, Edmundo Roberto Mauro Madeira, Siome Klein Goldenstein

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 2 2%
Croatia 1 1%
United Kingdom 1 1%
Unknown 90 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 22%
Student > Ph. D. Student 15 16%
Student > Bachelor 13 14%
Researcher 9 10%
Other 4 4%
Other 15 16%
Unknown 17 18%
Readers by discipline Count As %
Computer Science 54 57%
Engineering 12 13%
Business, Management and Accounting 3 3%
Medicine and Dentistry 2 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 4 4%
Unknown 18 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 May 2020.
All research outputs
#3,798,287
of 25,373,627 outputs
Outputs from Journal of Internet Services and Applications
#21
of 183 outputs
Outputs of similar age
#31,054
of 208,569 outputs
Outputs of similar age from Journal of Internet Services and Applications
#1
of 13 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 183 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 88% 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 208,569 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.