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A Real-Time Self-Adaptive Classifier for Identifying Suspicious Bidders in Online Auctions

Overview of attention for article published in Computer Journal, March 2012
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  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
2 patents

Readers on

mendeley
23 Mendeley
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Article details
Title
A Real-Time Self-Adaptive Classifier for Identifying Suspicious Bidders in Online Auctions
Published in
Computer Journal, March 2012
DOI 10.1093/comjnl/bxs025
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 23 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 %
Unknown 23 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Doctoral Student 4 17%
Student > Master 4 17%
Lecturer > Senior Lecturer 2 9%
Student > Ph. D. Student 2 9%
Other 1 4%
Other 2 9%
Unknown 8 35%
Readers by discipline
Readers by discipline Count As %
Computer Science 10 43%
Engineering 2 9%
Business, Management and Accounting 1 4%
Economics, Econometrics and Finance 1 4%
Decision Sciences 1 4%
Other 0 0%
Unknown 8 35%
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 14 March 2023.
All research outputs
#12,345,171
of 34,364,397 outputs
Outputs from Computer Journal
#333
of 1,036 outputs
Outputs of similar age
#79,523
of 205,444 outputs
Outputs of similar age from Computer Journal
#4
of 9 outputs
Altmetric has tracked 34,364,397 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,036 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 22nd percentile – i.e., 22% 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 205,444 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.