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iPseU-NCP: Identifying RNA pseudouridine sites using random forest and NCP-encoded features

Overview of attention for article published in BMC Genomics, December 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
15 Mendeley
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Title
iPseU-NCP: Identifying RNA pseudouridine sites using random forest and NCP-encoded features
Published in
BMC Genomics, December 2019
DOI 10.1186/s12864-019-6357-y
Pubmed ID
Authors

Thanh-Hoang Nguyen-Vo, Quang H. Nguyen, Trang T.T. Do, Thien-Ngan Nguyen, Susanto Rahardja, Binh P. Nguyen

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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Researcher 2 13%
Lecturer > Senior Lecturer 1 7%
Lecturer 1 7%
Other 1 7%
Other 2 13%
Unknown 5 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 27%
Computer Science 2 13%
Mathematics 1 7%
Chemistry 1 7%
Engineering 1 7%
Other 0 0%
Unknown 6 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 May 2020.
All research outputs
#13,761,615
of 23,332,901 outputs
Outputs from BMC Genomics
#5,078
of 10,744 outputs
Outputs of similar age
#223,852
of 458,230 outputs
Outputs of similar age from BMC Genomics
#106
of 260 outputs
Altmetric has tracked 23,332,901 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,744 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 50% 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 458,230 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 260 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.