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Poly(a) selection introduces bias and undue noise in direct RNA-sequencing

Overview of attention for article published in BMC Genomics, July 2022
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
15 X users

Citations

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11 Dimensions

Readers on

mendeley
35 Mendeley
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Title
Poly(a) selection introduces bias and undue noise in direct RNA-sequencing
Published in
BMC Genomics, July 2022
DOI 10.1186/s12864-022-08762-8
Pubmed ID
Authors

Marcus J. Viscardi, Joshua A. Arribere

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 17%
Student > Master 3 9%
Student > Bachelor 3 9%
Researcher 2 6%
Unspecified 1 3%
Other 2 6%
Unknown 18 51%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 23%
Agricultural and Biological Sciences 4 11%
Unspecified 1 3%
Mathematics 1 3%
Immunology and Microbiology 1 3%
Other 2 6%
Unknown 18 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 20 August 2022.
All research outputs
#4,164,788
of 25,750,437 outputs
Outputs from BMC Genomics
#1,436
of 11,319 outputs
Outputs of similar age
#80,620
of 435,784 outputs
Outputs of similar age from BMC Genomics
#21
of 164 outputs
Altmetric has tracked 25,750,437 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,319 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 87% 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 435,784 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 81% of its contemporaries.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.