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Hierarchical Interleaved Bloom Filter: enabling ultrafast, approximate sequence queries

Overview of attention for article published in Genome Biology, May 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
14 Mendeley
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Title
Hierarchical Interleaved Bloom Filter: enabling ultrafast, approximate sequence queries
Published in
Genome Biology, May 2023
DOI 10.1186/s13059-023-02971-4
Pubmed ID
Authors

Svenja Mehringer, Enrico Seiler, Felix Droop, Mitra Darvish, René Rahn, Martin Vingron, Knut Reinert

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 21%
Other 2 14%
Professor 2 14%
Student > Bachelor 2 14%
Student > Master 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Computer Science 4 29%
Biochemistry, Genetics and Molecular Biology 3 21%
Agricultural and Biological Sciences 2 14%
Earth and Planetary Sciences 1 7%
Unknown 4 29%
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 28 March 2024.
All research outputs
#7,068,524
of 25,582,611 outputs
Outputs from Genome Biology
#3,236
of 4,492 outputs
Outputs of similar age
#116,086
of 390,227 outputs
Outputs of similar age from Genome Biology
#63
of 90 outputs
Altmetric has tracked 25,582,611 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 4,492 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 27th percentile – i.e., 27% 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 390,227 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 70% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.