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

Overview of attention for article published in BMC Genomics, January 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

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

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

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 27%
Researcher 5 15%
Student > Master 5 15%
Student > Postgraduate 3 9%
Lecturer 3 9%
Other 6 18%
Unknown 2 6%
Readers by discipline Count As %
Computer Science 14 42%
Biochemistry, Genetics and Molecular Biology 5 15%
Agricultural and Biological Sciences 4 12%
Engineering 2 6%
Social Sciences 2 6%
Other 1 3%
Unknown 5 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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
#4,177,146
of 8,702,492 outputs
Outputs from BMC Genomics
#3,162
of 6,083 outputs
Outputs of similar age
#100,965
of 243,199 outputs
Outputs of similar age from BMC Genomics
#153
of 313 outputs
Altmetric has tracked 8,702,492 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,083 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 43rd percentile – i.e., 43% 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 243,199 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 313 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.