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An accessible, efficient and global approach for the large-scale sequencing of bacterial genomes

Overview of attention for article published in Genome Biology, December 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
9 news outlets
blogs
1 blog
twitter
82 X users

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
76 Mendeley
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Title
An accessible, efficient and global approach for the large-scale sequencing of bacterial genomes
Published in
Genome Biology, December 2021
DOI 10.1186/s13059-021-02536-3
Pubmed ID
Authors

Blanca M. Perez-Sepulveda, Darren Heavens, Caisey V. Pulford, Alexander V. Predeus, Ross Low, Hermione Webster, Gregory F. Dykes, Christian Schudoma, Will Rowe, James Lipscombe, Chris Watkins, Benjamin Kumwenda, Neil Shearer, Karl Costigan, Kate S. Baker, Nicholas A. Feasey, Jay C. D. Hinton, Neil Hall

X Demographics

X Demographics

The data shown below were collected from the profiles of 82 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 24%
Researcher 17 22%
Student > Bachelor 5 7%
Student > Master 5 7%
Student > Postgraduate 4 5%
Other 8 11%
Unknown 19 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 29%
Agricultural and Biological Sciences 15 20%
Immunology and Microbiology 5 7%
Nursing and Health Professions 3 4%
Social Sciences 2 3%
Other 9 12%
Unknown 20 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 115. 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 20 June 2022.
All research outputs
#366,104
of 25,515,042 outputs
Outputs from Genome Biology
#171
of 4,484 outputs
Outputs of similar age
#9,773
of 514,832 outputs
Outputs of similar age from Genome Biology
#4
of 91 outputs
Altmetric has tracked 25,515,042 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,484 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 done particularly well, scoring higher than 96% 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 514,832 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 98% of its contemporaries.
We're also able to compare this research output to 91 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 96% of its contemporaries.