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A Naïve-Bayes classifier for damage detection in engineering materials

Overview of attention for article published in Materials and Design, January 2007
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Mentioned by

patent
1 patent

Citations

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49 Dimensions

Readers on

mendeley
59 Mendeley
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Title
A Naïve-Bayes classifier for damage detection in engineering materials
Published in
Materials and Design, January 2007
DOI 10.1016/j.matdes.2006.07.018
Authors

O. Addin, S.M. Sapuan, E. Mahdi, M. Othman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Student > Master 7 12%
Student > Bachelor 7 12%
Other 5 8%
Student > Doctoral Student 3 5%
Other 10 17%
Unknown 12 20%
Readers by discipline Count As %
Engineering 29 49%
Computer Science 6 10%
Materials Science 2 3%
Agricultural and Biological Sciences 1 2%
Environmental Science 1 2%
Other 5 8%
Unknown 15 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 October 2021.
All research outputs
#8,544,090
of 25,394,764 outputs
Outputs from Materials and Design
#135
of 602 outputs
Outputs of similar age
#45,235
of 168,430 outputs
Outputs of similar age from Materials and Design
#8
of 29 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 602 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 16th percentile – i.e., 16% 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 168,430 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.