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MeShClust v3.0: high-quality clustering of DNA sequences using the mean shift algorithm and alignment-free identity scores

Overview of attention for article published in BMC Genomics, June 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
4 X users
patent
1 patent

Readers on

mendeley
27 Mendeley
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Title
MeShClust v3.0: high-quality clustering of DNA sequences using the mean shift algorithm and alignment-free identity scores
Published in
BMC Genomics, June 2022
DOI 10.1186/s12864-022-08619-0
Pubmed ID
Authors

Hani Z. Girgis

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 22%
Student > Doctoral Student 3 11%
Other 2 7%
Student > Master 2 7%
Student > Ph. D. Student 2 7%
Other 0 0%
Unknown 12 44%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 22%
Environmental Science 3 11%
Computer Science 2 7%
Agricultural and Biological Sciences 1 4%
Chemical Engineering 1 4%
Other 2 7%
Unknown 12 44%
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 09 November 2023.
All research outputs
#6,955,214
of 25,443,857 outputs
Outputs from BMC Genomics
#2,739
of 11,268 outputs
Outputs of similar age
#129,727
of 447,638 outputs
Outputs of similar age from BMC Genomics
#38
of 170 outputs
Altmetric has tracked 25,443,857 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 11,268 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 75% 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 447,638 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 170 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.