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A hierarchical graph model for object cosegmentation

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

facebook
1 Facebook page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
8 Mendeley
Title
A hierarchical graph model for object cosegmentation
Published in
EURASIP Journal on Image and Video Processing, February 2013
DOI 10.1186/1687-5281-2013-11
Authors

Yanli Li, Zhong Zhou, Wei Wu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Student > Bachelor 1 13%
Student > Doctoral Student 1 13%
Professor 1 13%
Student > Master 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Computer Science 4 50%
Engineering 2 25%
Pharmacology, Toxicology and Pharmaceutical Science 1 13%
Unknown 1 13%
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 26 February 2013.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from EURASIP Journal on Image and Video Processing
#201
of 233 outputs
Outputs of similar age
#181,124
of 205,032 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#2
of 7 outputs
Altmetric has tracked 25,373,627 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 205,032 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 7 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.