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A novel online multi-label classifier for high-speed streaming data applications

Overview of attention for article published in Evolving Systems, August 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
7 X users
reddit
1 Redditor

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
38 Mendeley
citeulike
2 CiteULike
Title
A novel online multi-label classifier for high-speed streaming data applications
Published in
Evolving Systems, August 2016
DOI 10.1007/s12530-016-9162-8
Authors

Rajasekar Venkatesan, Meng Joo Er, Mihika Dave, Mahardhika Pratama, Shiqian Wu

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 26%
Student > Ph. D. Student 9 24%
Professor 3 8%
Student > Doctoral Student 2 5%
Researcher 2 5%
Other 5 13%
Unknown 7 18%
Readers by discipline Count As %
Computer Science 16 42%
Engineering 5 13%
Agricultural and Biological Sciences 1 3%
Mathematics 1 3%
Chemistry 1 3%
Other 1 3%
Unknown 13 34%
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 15 September 2016.
All research outputs
#13,133,962
of 23,653,937 outputs
Outputs from Evolving Systems
#11
of 32 outputs
Outputs of similar age
#190,392
of 370,365 outputs
Outputs of similar age from Evolving Systems
#1
of 1 outputs
Altmetric has tracked 23,653,937 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 32 research outputs from this source. They receive a mean Attention Score of 1.9. This one scored the same or higher as 21 of them.
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 370,365 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them