↓ Skip to main content

Identification of Sparse Audio Tampering Using Distributed Source Coding and Compressive Sensing Techniques

Overview of attention for article published in EURASIP Journal on Image and Video Processing, February 2009
Altmetric Badge

Mentioned by

patent
2 patents

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
43 Mendeley
citeulike
1 CiteULike
Title
Identification of Sparse Audio Tampering Using Distributed Source Coding and Compressive Sensing Techniques
Published in
EURASIP Journal on Image and Video Processing, February 2009
DOI 10.1155/2009/158982
Authors

G Valenzise, G Prandi, M Tagliasacchi, A Sarti

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
United Kingdom 1 2%
Italy 1 2%
Unknown 39 91%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 18 42%
Student > Ph. D. Student 7 16%
Professor > Associate Professor 4 9%
Student > Postgraduate 3 7%
Researcher 3 7%
Other 5 12%
Unknown 3 7%
Readers by discipline Count As %
Engineering 29 67%
Computer Science 8 19%
Social Sciences 2 5%
Agricultural and Biological Sciences 1 2%
Unknown 3 7%
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 31 March 2020.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from EURASIP Journal on Image and Video Processing
#56
of 233 outputs
Outputs of similar age
#54,880
of 189,039 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#2
of 3 outputs
Altmetric has tracked 25,371,288 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 233 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 51% 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 189,039 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.