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A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification

Overview of attention for article published in Metabolomics, November 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#23 of 964)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
51 tweeters

Readers on

mendeley
11 Mendeley
Title
A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification
Published in
Metabolomics, November 2019
DOI 10.1007/s11306-019-1612-4
Pubmed ID
Authors

Kevin M. Mendez, Stacey N. Reinke, David I. Broadhurst

Twitter Demographics

The data shown below were collected from the profiles of 51 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 27%
Researcher 2 18%
Student > Ph. D. Student 2 18%
Student > Doctoral Student 1 9%
Professor 1 9%
Other 1 9%
Unknown 1 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 27%
Biochemistry, Genetics and Molecular Biology 2 18%
Chemistry 2 18%
Computer Science 2 18%
Nursing and Health Professions 1 9%
Other 0 0%
Unknown 1 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 25 January 2020.
All research outputs
#574,785
of 14,188,250 outputs
Outputs from Metabolomics
#23
of 964 outputs
Outputs of similar age
#22,727
of 312,259 outputs
Outputs of similar age from Metabolomics
#2
of 31 outputs
Altmetric has tracked 14,188,250 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 964 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 97% 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 312,259 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 31 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 93% of its contemporaries.