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Counter-forensics of SIFT-based copy-move detection by means of keypoint classification

Overview of attention for article published in EURASIP Journal on Image and Video Processing, April 2013
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Mentioned by

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1 Facebook page

Citations

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31 Dimensions

Readers on

mendeley
36 Mendeley
Title
Counter-forensics of SIFT-based copy-move detection by means of keypoint classification
Published in
EURASIP Journal on Image and Video Processing, April 2013
DOI 10.1186/1687-5281-2013-18
Authors

Irene Amerini, Mauro Barni, Roberto Caldelli, Andrea Costanzo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 36%
Student > Master 5 14%
Researcher 4 11%
Student > Postgraduate 3 8%
Lecturer 2 6%
Other 6 17%
Unknown 3 8%
Readers by discipline Count As %
Computer Science 23 64%
Engineering 4 11%
Unspecified 1 3%
Economics, Econometrics and Finance 1 3%
Mathematics 1 3%
Other 2 6%
Unknown 4 11%
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 15 April 2013.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from EURASIP Journal on Image and Video Processing
#201
of 233 outputs
Outputs of similar age
#183,837
of 209,603 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#1
of 10 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 233 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% 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 209,603 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 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