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SSBlazer: a genome-wide nucleotide-resolution model for predicting single-strand break sites

Overview of attention for article published in Genome Biology, February 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
13 X users

Readers on

mendeley
4 Mendeley
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Title
SSBlazer: a genome-wide nucleotide-resolution model for predicting single-strand break sites
Published in
Genome Biology, February 2024
DOI 10.1186/s13059-024-03179-w
Pubmed ID
Authors

Sheng Xu, Junkang Wei, Siqi Sun, Jizhou Zhang, Ting-Fung Chan, Yu Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 25%
Researcher 1 25%
Unknown 2 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 50%
Unknown 2 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 10 March 2024.
All research outputs
#7,029,565
of 25,769,258 outputs
Outputs from Genome Biology
#3,229
of 4,508 outputs
Outputs of similar age
#90,562
of 344,436 outputs
Outputs of similar age from Genome Biology
#45
of 68 outputs
Altmetric has tracked 25,769,258 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,508 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 344,436 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.