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A Review of Computational Methods for Clustering Genes with Similar Biological Functions

Overview of attention for article published in Processes, August 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

peer_reviews
1 peer review site

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
51 Mendeley
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Title
A Review of Computational Methods for Clustering Genes with Similar Biological Functions
Published in
Processes, August 2019
DOI 10.3390/pr7090550
Authors

Hui Wen Nies, Zalmiyah Zakaria, Mohd Saberi Mohamad, Weng Howe Chan, Nazar Zaki, Richard O. Sinnott, Suhaimi Napis, Pablo Chamoso, Sigeru Omatu, Juan Manuel Corchado

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 16%
Researcher 6 12%
Student > Doctoral Student 4 8%
Student > Master 4 8%
Professor 3 6%
Other 4 8%
Unknown 22 43%
Readers by discipline Count As %
Computer Science 8 16%
Engineering 5 10%
Biochemistry, Genetics and Molecular Biology 4 8%
Agricultural and Biological Sciences 1 2%
Business, Management and Accounting 1 2%
Other 5 10%
Unknown 27 53%
Attention Score in Context

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 05 August 2019.
All research outputs
#15,578,413
of 23,154,520 outputs
Outputs from Processes
#626
of 1,650 outputs
Outputs of similar age
#210,665
of 342,309 outputs
Outputs of similar age from Processes
#29
of 67 outputs
Altmetric has tracked 23,154,520 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,650 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 38th percentile – i.e., 38% 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 342,309 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.