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A top-down approach to classify enzyme functional classes and sub-classes using random forest

Overview of attention for article published in EURASIP Journal on Bioinformatics & Systems Biology, February 2012
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
1 patent

Citations

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41 Dimensions

Readers on

mendeley
48 Mendeley
Title
A top-down approach to classify enzyme functional classes and sub-classes using random forest
Published in
EURASIP Journal on Bioinformatics & Systems Biology, February 2012
DOI 10.1186/1687-4153-2012-1
Pubmed ID
Authors

Chetan Kumar, Alok Choudhary

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Israel 1 2%
India 1 2%
United Kingdom 1 2%
Mexico 1 2%
Unknown 43 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Professor > Associate Professor 8 17%
Student > Master 8 17%
Student > Bachelor 5 10%
Student > Postgraduate 3 6%
Other 5 10%
Unknown 11 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 31%
Computer Science 9 19%
Biochemistry, Genetics and Molecular Biology 8 17%
Engineering 2 4%
Immunology and Microbiology 1 2%
Other 3 6%
Unknown 10 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 October 2020.
All research outputs
#8,699,173
of 25,774,185 outputs
Outputs from EURASIP Journal on Bioinformatics & Systems Biology
#12
of 53 outputs
Outputs of similar age
#57,138
of 168,774 outputs
Outputs of similar age from EURASIP Journal on Bioinformatics & Systems Biology
#1
of 1 outputs
Altmetric has tracked 25,774,185 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 53 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 67% 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 168,774 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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