↓ Skip to main content

Supervised Learning and Codebook Optimization for Bag-of-Words Models

Overview of attention for article published in Cognitive Computation, April 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
43 Mendeley
Title
Supervised Learning and Codebook Optimization for Bag-of-Words Models
Published in
Cognitive Computation, April 2012
DOI 10.1007/s12559-012-9137-4
Authors

Mingyuan Jiu, Christian Wolf, Christophe Garcia, Atilla Baskurt

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

Geographical breakdown

Country Count As %
France 2 5%
United Kingdom 1 2%
Colombia 1 2%
Spain 1 2%
Unknown 38 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 37%
Student > Bachelor 5 12%
Student > Doctoral Student 4 9%
Student > Master 4 9%
Researcher 3 7%
Other 6 14%
Unknown 5 12%
Readers by discipline Count As %
Computer Science 23 53%
Engineering 9 21%
Psychology 1 2%
Mathematics 1 2%
Unknown 9 21%
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 30 April 2012.
All research outputs
#18,305,773
of 22,664,644 outputs
Outputs from Cognitive Computation
#218
of 411 outputs
Outputs of similar age
#126,021
of 163,180 outputs
Outputs of similar age from Cognitive Computation
#5
of 11 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 411 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 3rd percentile – i.e., 3% 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 163,180 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 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.