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DegNorm: normalization of generalized transcript degradation improves accuracy in RNA-seq analysis

Overview of attention for article published in Genome Biology, April 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

twitter
35 X users

Citations

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25 Dimensions

Readers on

mendeley
65 Mendeley
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Title
DegNorm: normalization of generalized transcript degradation improves accuracy in RNA-seq analysis
Published in
Genome Biology, April 2019
DOI 10.1186/s13059-019-1682-7
Pubmed ID
Authors

Bin Xiong, Yiben Yang, Frank R. Fineis, Ji-Ping Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 32%
Researcher 17 26%
Student > Master 7 11%
Student > Postgraduate 5 8%
Student > Bachelor 3 5%
Other 5 8%
Unknown 7 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 32%
Agricultural and Biological Sciences 17 26%
Neuroscience 3 5%
Computer Science 3 5%
Engineering 2 3%
Other 6 9%
Unknown 13 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 14 November 2020.
All research outputs
#2,026,856
of 25,403,829 outputs
Outputs from Genome Biology
#1,713
of 4,471 outputs
Outputs of similar age
#42,786
of 347,815 outputs
Outputs of similar age from Genome Biology
#44
of 58 outputs
Altmetric has tracked 25,403,829 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,471 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 61% 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 347,815 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.