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The power metric: a new statistically robust enrichment-type metric for virtual screening applications with early recovery capability

Overview of attention for article published in Journal of Cheminformatics, February 2017
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  • Good Attention Score compared to outputs of the same age (68th percentile)

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7 X users

Citations

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Title
The power metric: a new statistically robust enrichment-type metric for virtual screening applications with early recovery capability
Published in
Journal of Cheminformatics, February 2017
DOI 10.1186/s13321-016-0189-4
Pubmed ID
Authors

Julio Cesar Dias Lopes, Fábio Mendes dos Santos, Andrelly Martins-José, Koen Augustyns, Hans De Winter

Abstract

A new metric for the evaluation of model performance in the field of virtual screening and quantitative structure-activity relationship applications is described. This metric has been termed the power metric and is defined as the fraction of the true positive rate divided by the sum of the true positive and false positive rates, for a given cutoff threshold. The performance of this metric is compared with alternative metrics such as the enrichment factor, the relative enrichment factor, the receiver operating curve enrichment factor, the correct classification rate, Matthews correlation coefficient and Cohen's kappa coefficient. The performance of this new metric is found to be quite robust with respect to variations in the applied cutoff threshold and ratio of the number of active compounds to the total number of compounds, and at the same time being sensitive to variations in model quality. It possesses the correct characteristics for its application in early-recognition virtual screening problems.

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X Demographics

The data shown below were collected from the profiles of 7 X users 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 25%
Student > Master 8 14%
Student > Bachelor 7 13%
Student > Ph. D. Student 6 11%
Professor 3 5%
Other 9 16%
Unknown 9 16%
Readers by discipline Count As %
Chemistry 15 27%
Biochemistry, Genetics and Molecular Biology 8 14%
Agricultural and Biological Sciences 7 13%
Computer Science 6 11%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Other 2 4%
Unknown 15 27%
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 05 February 2017.
All research outputs
#7,586,201
of 25,079,131 outputs
Outputs from Journal of Cheminformatics
#582
of 942 outputs
Outputs of similar age
#132,918
of 431,027 outputs
Outputs of similar age from Journal of Cheminformatics
#17
of 22 outputs
Altmetric has tracked 25,079,131 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 942 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 37th percentile – i.e., 37% 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 431,027 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 22 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.