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Direct long-read RNA sequencing identifies a subset of questionable exitrons likely arising from reverse transcription artifacts

Overview of attention for article published in Genome Biology, June 2021
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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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
43 X users

Citations

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21 Dimensions

Readers on

mendeley
50 Mendeley
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Title
Direct long-read RNA sequencing identifies a subset of questionable exitrons likely arising from reverse transcription artifacts
Published in
Genome Biology, June 2021
DOI 10.1186/s13059-021-02411-1
Pubmed ID
Authors

Laura Schulz, Manuel Torres-Diz, Mariela Cortés-López, Katharina E. Hayer, Mukta Asnani, Sarah K. Tasian, Yoseph Barash, Elena Sotillo, Kathi Zarnack, Julian König, Andrei Thomas-Tikhonenko

X Demographics

X Demographics

The data shown below were collected from the profiles of 43 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 24%
Researcher 5 10%
Student > Doctoral Student 4 8%
Student > Master 3 6%
Student > Bachelor 2 4%
Other 7 14%
Unknown 17 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 22%
Agricultural and Biological Sciences 5 10%
Medicine and Dentistry 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Immunology and Microbiology 2 4%
Other 8 16%
Unknown 19 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 06 April 2023.
All research outputs
#1,517,970
of 25,651,057 outputs
Outputs from Genome Biology
#1,204
of 4,498 outputs
Outputs of similar age
#37,702
of 455,414 outputs
Outputs of similar age from Genome Biology
#22
of 65 outputs
Altmetric has tracked 25,651,057 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,498 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 73% 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 455,414 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 65 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 66% of its contemporaries.