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SVM clustering

Overview of attention for article published in BMC Bioinformatics, November 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

patent
1 patent
q&a
1 Q&A thread

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
116 Mendeley
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Title
SVM clustering
Published in
BMC Bioinformatics, November 2007
DOI 10.1186/1471-2105-8-s7-s18
Authors

Stephen Winters-Hilt, Sam Merat

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 4 3%
United Kingdom 3 3%
Germany 3 3%
United States 2 2%
France 1 <1%
Netherlands 1 <1%
Denmark 1 <1%
Australia 1 <1%
Unknown 100 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 26%
Student > Master 23 20%
Researcher 19 16%
Student > Bachelor 13 11%
Student > Doctoral Student 6 5%
Other 18 16%
Unknown 7 6%
Readers by discipline Count As %
Computer Science 50 43%
Engineering 26 22%
Mathematics 7 6%
Agricultural and Biological Sciences 5 4%
Medicine and Dentistry 4 3%
Other 13 11%
Unknown 11 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 29 March 2012.
All research outputs
#2,828,010
of 12,828,695 outputs
Outputs from BMC Bioinformatics
#1,125
of 4,774 outputs
Outputs of similar age
#76,279
of 270,717 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 24 outputs
Altmetric has tracked 12,828,695 research outputs across all sources so far. Compared to these this one has done well and is in the 77th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,774 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 75% 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 270,717 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 71% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.