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Performance measures in evaluating machine learning based bioinformatics predictors for classifications

Overview of attention for article published in Quantitative Biology, December 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
214 Dimensions

Readers on

mendeley
204 Mendeley
Title
Performance measures in evaluating machine learning based bioinformatics predictors for classifications
Published in
Quantitative Biology, December 2016
DOI 10.1007/s40484-016-0081-2
Authors

Yasen Jiao, Pufeng Du

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 <1%
Unknown 203 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 14%
Student > Bachelor 23 11%
Student > Master 20 10%
Researcher 18 9%
Lecturer 8 4%
Other 21 10%
Unknown 86 42%
Readers by discipline Count As %
Computer Science 42 21%
Engineering 22 11%
Biochemistry, Genetics and Molecular Biology 11 5%
Medicine and Dentistry 7 3%
Agricultural and Biological Sciences 5 2%
Other 17 8%
Unknown 100 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 27 September 2023.
All research outputs
#7,741,968
of 24,833,004 outputs
Outputs from Quantitative Biology
#31
of 89 outputs
Outputs of similar age
#132,080
of 427,402 outputs
Outputs of similar age from Quantitative Biology
#1
of 3 outputs
Altmetric has tracked 24,833,004 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 89 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 65% 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 427,402 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 68% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them