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Manipulating base quality scores enables variant calling from bisulfite sequencing alignments using conventional bayesian approaches

Overview of attention for article published in BMC Genomics, June 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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
18 X users

Citations

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13 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Manipulating base quality scores enables variant calling from bisulfite sequencing alignments using conventional bayesian approaches
Published in
BMC Genomics, June 2022
DOI 10.1186/s12864-022-08691-6
Pubmed ID
Authors

Adam Nunn, Christian Otto, Mario Fasold, Peter F Stadler, David Langenberger

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 31%
Researcher 5 19%
Student > Bachelor 4 15%
Student > Master 3 12%
Unknown 6 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 38%
Agricultural and Biological Sciences 5 19%
Chemical Engineering 1 4%
Mathematics 1 4%
Computer Science 1 4%
Other 3 12%
Unknown 5 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 16 August 2022.
All research outputs
#3,345,745
of 24,279,062 outputs
Outputs from BMC Genomics
#1,184
of 10,937 outputs
Outputs of similar age
#70,301
of 428,027 outputs
Outputs of similar age from BMC Genomics
#13
of 162 outputs
Altmetric has tracked 24,279,062 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,937 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 89% 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 428,027 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 83% of its contemporaries.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.