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A log mining approach for process monitoring in SCADA

Overview of attention for article published in International Journal of Information Security, April 2012
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Mentioned by

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1 X user

Citations

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Readers on

mendeley
91 Mendeley
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1 CiteULike
Title
A log mining approach for process monitoring in SCADA
Published in
International Journal of Information Security, April 2012
DOI 10.1007/s10207-012-0163-8
Authors

Dina Hadžiosmanović, Damiano Bolzoni, Pieter H. Hartel

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Germany 1 1%
Australia 1 1%
Unknown 88 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 24%
Student > Ph. D. Student 21 23%
Student > Bachelor 10 11%
Researcher 9 10%
Student > Doctoral Student 5 5%
Other 15 16%
Unknown 9 10%
Readers by discipline Count As %
Computer Science 49 54%
Engineering 21 23%
Business, Management and Accounting 2 2%
Economics, Econometrics and Finance 2 2%
Unspecified 2 2%
Other 4 4%
Unknown 11 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 October 2012.
All research outputs
#15,255,201
of 22,684,168 outputs
Outputs from International Journal of Information Security
#125
of 158 outputs
Outputs of similar age
#103,912
of 162,649 outputs
Outputs of similar age from International Journal of Information Security
#1
of 1 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 158 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one is in the 7th percentile – i.e., 7% 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 162,649 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them