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Ovarian cancer detection from metabolomic liquid chromatography/mass spectrometry data by support vector machines

Overview of attention for article published in BMC Bioinformatics, August 2009
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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 (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
95 Dimensions

Readers on

mendeley
133 Mendeley
citeulike
1 CiteULike
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Title
Ovarian cancer detection from metabolomic liquid chromatography/mass spectrometry data by support vector machines
Published in
BMC Bioinformatics, August 2009
DOI 10.1186/1471-2105-10-259
Pubmed ID
Authors

Wei Guan, Manshui Zhou, Christina Y Hampton, Benedict B Benigno, L DeEtte Walker, Alexander Gray, John F McDonald, Facundo M Fernández

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Greece 1 <1%
Unknown 130 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 23%
Student > Ph. D. Student 29 22%
Student > Master 15 11%
Professor > Associate Professor 8 6%
Student > Bachelor 7 5%
Other 19 14%
Unknown 24 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 21%
Chemistry 23 17%
Medicine and Dentistry 18 14%
Biochemistry, Genetics and Molecular Biology 12 9%
Computer Science 9 7%
Other 14 11%
Unknown 29 22%
Attention Score in Context

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 26 July 2018.
All research outputs
#4,759,175
of 23,033,713 outputs
Outputs from BMC Bioinformatics
#1,823
of 7,318 outputs
Outputs of similar age
#19,311
of 103,073 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 45 outputs
Altmetric has tracked 23,033,713 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,318 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 73% 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 103,073 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 73% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.