↓ Skip to main content

Active learning in very large databases

Overview of attention for article published in Multimedia Tools and Applications, October 2006
Altmetric Badge

Mentioned by

patent
1 patent

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
16 Mendeley
Title
Active learning in very large databases
Published in
Multimedia Tools and Applications, October 2006
DOI 10.1007/s11042-006-0043-1
Authors

Navneet Panda, King-Shy Goh, Edward Y. Chang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 6%
Germany 1 6%
Unknown 14 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 38%
Student > Doctoral Student 2 13%
Professor 2 13%
Student > Master 2 13%
Lecturer 1 6%
Other 1 6%
Unknown 2 13%
Readers by discipline Count As %
Computer Science 11 69%
Engineering 3 19%
Unknown 2 13%
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 28 March 2017.
All research outputs
#7,942,395
of 23,906,448 outputs
Outputs from Multimedia Tools and Applications
#316
of 4,321 outputs
Outputs of similar age
#24,687
of 70,027 outputs
Outputs of similar age from Multimedia Tools and Applications
#3
of 6 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,321 research outputs from this source. They receive a mean Attention Score of 1.3. This one has done well, scoring higher than 82% 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 70,027 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.