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A novel technique to prevent SQL injection and cross-site scripting attacks using Knuth-Morris-Pratt string match algorithm

Overview of attention for article published in EURASIP Journal on Information Security, August 2020
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1 X user

Citations

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31 Dimensions

Readers on

mendeley
120 Mendeley
Title
A novel technique to prevent SQL injection and cross-site scripting attacks using Knuth-Morris-Pratt string match algorithm
Published in
EURASIP Journal on Information Security, August 2020
DOI 10.1186/s13635-020-00113-y
Authors

Oluwakemi Christiana Abikoye, Abdullahi Abubakar, Ahmed Haruna Dokoro, Oluwatobi Noah Akande, Aderonke Anthonia Kayode

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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 120 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 11%
Student > Bachelor 9 8%
Student > Ph. D. Student 5 4%
Lecturer 4 3%
Student > Postgraduate 3 3%
Other 10 8%
Unknown 76 63%
Readers by discipline Count As %
Computer Science 34 28%
Engineering 4 3%
Unspecified 2 2%
Chemistry 1 <1%
Agricultural and Biological Sciences 1 <1%
Other 0 0%
Unknown 78 65%
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 21 August 2020.
All research outputs
#17,297,846
of 25,387,668 outputs
Outputs from EURASIP Journal on Information Security
#55
of 81 outputs
Outputs of similar age
#272,201
of 426,313 outputs
Outputs of similar age from EURASIP Journal on Information Security
#1
of 2 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 81 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 23rd percentile – i.e., 23% 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 426,313 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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