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Big data driven decision making and multi-prior models collaboration for media restoration

Overview of attention for article published in Multimedia Tools and Applications, November 2014
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1 X user

Readers on

mendeley
25 Mendeley
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Title
Big data driven decision making and multi-prior models collaboration for media restoration
Published in
Multimedia Tools and Applications, November 2014
DOI 10.1007/s11042-014-2240-7
Authors

Feng Jiang, Seungmin Rho, Bo-Wei Chen, Kun Li, Debin Zhao

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

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Student > Master 6 24%
Student > Doctoral Student 5 20%
Other 2 8%
Student > Bachelor 1 4%
Other 3 12%
Unknown 2 8%
Readers by discipline Count As %
Computer Science 10 40%
Engineering 5 20%
Business, Management and Accounting 4 16%
Social Sciences 2 8%
Arts and Humanities 1 4%
Other 1 4%
Unknown 2 8%
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 18 November 2014.
All research outputs
#19,701,336
of 24,224,854 outputs
Outputs from Multimedia Tools and Applications
#1,681
of 4,542 outputs
Outputs of similar age
#189,552
of 261,565 outputs
Outputs of similar age from Multimedia Tools and Applications
#12
of 14 outputs
Altmetric has tracked 24,224,854 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,542 research outputs from this source. They receive a mean Attention Score of 1.4. This one has gotten more attention than average, scoring higher than 59% 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 261,565 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.