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EM, MCMC, and Chain Flipping for Structure from Motion with Unknown Correspondence

Overview of attention for article published in Machine Learning, January 2003
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Mentioned by

q&a
1 Q&A thread

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
58 Mendeley
Title
EM, MCMC, and Chain Flipping for Structure from Motion with Unknown Correspondence
Published in
Machine Learning, January 2003
DOI 10.1023/a:1020245811187
Authors

Frank Dellaert, Steven M. Seitz, Charles E. Thorpe, Sebastian Thrun

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 9%
Bulgaria 1 2%
Czechia 1 2%
Turkey 1 2%
Spain 1 2%
Canada 1 2%
Greece 1 2%
Japan 1 2%
Unknown 46 79%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 38%
Researcher 12 21%
Professor 6 10%
Professor > Associate Professor 5 9%
Student > Doctoral Student 3 5%
Other 9 16%
Unknown 1 2%
Readers by discipline Count As %
Computer Science 34 59%
Engineering 16 28%
Biochemistry, Genetics and Molecular Biology 2 3%
Mathematics 1 2%
Agricultural and Biological Sciences 1 2%
Other 1 2%
Unknown 3 5%
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 21 February 2011.
All research outputs
#14,599,900
of 25,373,627 outputs
Outputs from Machine Learning
#564
of 1,225 outputs
Outputs of similar age
#114,279
of 136,759 outputs
Outputs of similar age from Machine Learning
#2
of 2 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,225 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 52% 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 136,759 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.