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An adaptive system for detecting malicious queries in web attacks

Overview of attention for article published in Science China Information Sciences, February 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
11 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
70 Mendeley
Title
An adaptive system for detecting malicious queries in web attacks
Published in
Science China Information Sciences, February 2018
DOI 10.1007/s11432-017-9288-4
Authors

Ying Dong, Yuqing Zhang, Hua Ma, Qianru Wu, Qixu Liu, Kai Wang, Wenjie Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 21%
Student > Ph. D. Student 10 14%
Student > Doctoral Student 5 7%
Other 4 6%
Researcher 4 6%
Other 4 6%
Unknown 28 40%
Readers by discipline Count As %
Computer Science 31 44%
Engineering 4 6%
Agricultural and Biological Sciences 1 1%
Biochemistry, Genetics and Molecular Biology 1 1%
Physics and Astronomy 1 1%
Other 1 1%
Unknown 31 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 12 December 2018.
All research outputs
#6,532,651
of 25,750,437 outputs
Outputs from Science China Information Sciences
#107
of 338 outputs
Outputs of similar age
#120,322
of 450,659 outputs
Outputs of similar age from Science China Information Sciences
#3
of 5 outputs
Altmetric has tracked 25,750,437 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 338 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 68% 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 450,659 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 73% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.