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Failure prediction based on log files using Random Indexing and Support Vector Machines

Overview of attention for article published in Journal of Systems & Software, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
1 X user
patent
13 patents

Readers on

mendeley
127 Mendeley
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Article details
Title
Failure prediction based on log files using Random Indexing and Support Vector Machines
Published in
Journal of Systems & Software, January 2013
DOI 10.1016/j.jss.2012.06.025
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Germany 2 2%
Norway 1 <1%
India 1 <1%
Finland 1 <1%
Chile 1 <1%
Unknown 121 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 30 24%
Student > Master 27 21%
Researcher 9 7%
Student > Bachelor 8 6%
Professor > Associate Professor 5 4%
Other 14 11%
Unknown 34 27%
Readers by discipline
Readers by discipline Count As %
Computer Science 68 54%
Engineering 15 12%
Business, Management and Accounting 5 4%
Arts and Humanities 1 <1%
Biochemistry, Genetics and Molecular Biology 1 <1%
Other 1 <1%
Unknown 36 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 04 November 2025.
All research outputs
#5,030,102
of 34,360,257 outputs
Outputs from Journal of Systems & Software
#115
of 2,090 outputs
Outputs of similar age
#44,560
of 345,954 outputs
Outputs of similar age from Journal of Systems & Software
#2
of 27 outputs
Altmetric has tracked 34,360,257 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,090 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 94% 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 345,954 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 86% of its contemporaries.
We're also able to compare this research output to 27 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.