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Identification of gene signatures from RNA-seq data using Pareto-optimal cluster algorithm

Overview of attention for article published in BMC Systems Biology, December 2018
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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16 Dimensions

Readers on

mendeley
58 Mendeley
Title
Identification of gene signatures from RNA-seq data using Pareto-optimal cluster algorithm
Published in
BMC Systems Biology, December 2018
DOI 10.1186/s12918-018-0650-2
Pubmed ID
Authors

Saurav Mallik, Zhongming Zhao

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 24%
Researcher 10 17%
Student > Master 7 12%
Student > Bachelor 4 7%
Student > Doctoral Student 1 2%
Other 4 7%
Unknown 18 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 29%
Agricultural and Biological Sciences 6 10%
Medicine and Dentistry 5 9%
Computer Science 3 5%
Engineering 2 3%
Other 7 12%
Unknown 18 31%
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 24 December 2018.
All research outputs
#18,002,039
of 23,120,280 outputs
Outputs from BMC Systems Biology
#773
of 1,144 outputs
Outputs of similar age
#303,848
of 435,957 outputs
Outputs of similar age from BMC Systems Biology
#30
of 55 outputs
Altmetric has tracked 23,120,280 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,144 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 26th percentile – i.e., 26% 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 435,957 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.