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Performance of rotation forest ensemble classifier and feature extractor in predicting protein interactions using amino acid sequences

Overview of attention for article published in BMC Genomics, December 2019
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Mentioned by

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1 tweeter

Citations

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7 Dimensions

Readers on

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13 Mendeley
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Title
Performance of rotation forest ensemble classifier and feature extractor in predicting protein interactions using amino acid sequences
Published in
BMC Genomics, December 2019
DOI 10.1186/s12864-019-6304-y
Pubmed ID
Authors

Alhadi Bustamam, Mohamad I. S. Musti, Susilo Hartomo, Shirley Aprilia, Patuan P. Tampubolon, Dian Lestari

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Student > Master 2 15%
Student > Bachelor 1 8%
Professor > Associate Professor 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 5 38%
Readers by discipline Count As %
Mathematics 3 23%
Computer Science 2 15%
Nursing and Health Professions 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Economics, Econometrics and Finance 1 8%
Other 0 0%
Unknown 5 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 December 2019.
All research outputs
#14,559,296
of 16,505,271 outputs
Outputs from BMC Genomics
#7,867
of 9,061 outputs
Outputs of similar age
#317,357
of 381,896 outputs
Outputs of similar age from BMC Genomics
#687
of 819 outputs
Altmetric has tracked 16,505,271 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,061 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% 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 381,896 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 819 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.