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Semi-supervised multi-label collective classification ensemble for functional genomics

Overview of attention for article published in BMC Genomics, December 2014
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Mentioned by

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3 X users

Citations

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14 Dimensions

Readers on

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42 Mendeley
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Title
Semi-supervised multi-label collective classification ensemble for functional genomics
Published in
BMC Genomics, December 2014
DOI 10.1186/1471-2164-15-s9-s17
Pubmed ID
Authors

Qingyao Wu, Yunming Ye, Shen-Shyang Ho, Shuigeng Zhou

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Researcher 5 12%
Student > Master 5 12%
Lecturer 4 10%
Student > Postgraduate 3 7%
Other 8 19%
Unknown 8 19%
Readers by discipline Count As %
Computer Science 15 36%
Biochemistry, Genetics and Molecular Biology 4 10%
Agricultural and Biological Sciences 4 10%
Social Sciences 2 5%
Engineering 2 5%
Other 5 12%
Unknown 10 24%
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 19 December 2014.
All research outputs
#17,733,724
of 22,772,779 outputs
Outputs from BMC Genomics
#7,555
of 10,642 outputs
Outputs of similar age
#247,333
of 360,800 outputs
Outputs of similar age from BMC Genomics
#168
of 237 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,642 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 360,800 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 237 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.