↓ Skip to main content

CoronaHiT: high-throughput sequencing of SARS-CoV-2 genomes

Overview of attention for article published in Genome Medicine, February 2021
Altmetric Badge

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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
twitter
94 X users

Citations

dimensions_citation
100 Dimensions

Readers on

mendeley
76 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
CoronaHiT: high-throughput sequencing of SARS-CoV-2 genomes
Published in
Genome Medicine, February 2021
DOI 10.1186/s13073-021-00839-5
Pubmed ID
Authors

Dave J. Baker, Alp Aydin, Thanh Le-Viet, Gemma L. Kay, Steven Rudder, Leonardo de Oliveira Martins, Ana P. Tedim, Anastasia Kolyva, Maria Diaz, Nabil-Fareed Alikhan, Lizzie Meadows, Andrew Bell, Ana Victoria Gutierrez, Alexander J. Trotter, Nicholas M. Thomson, Rachel Gilroy, Luke Griffith, Evelien M. Adriaenssens, Rachael Stanley, Ian G. Charles, Ngozi Elumogo, John Wain, Reenesh Prakash, Emma Meader, Alison E. Mather, Mark A. Webber, Samir Dervisevic, Andrew J. Page, Justin O’Grady

Abstract

We present CoronaHiT, a platform and throughput flexible method for sequencing SARS-CoV-2 genomes (≤ 96 on MinION or > 96 on Illumina NextSeq) depending on changing requirements experienced during the pandemic. CoronaHiT uses transposase-based library preparation of ARTIC PCR products. Method performance was demonstrated by sequencing 2 plates containing 95 and 59 SARS-CoV-2 genomes on nanopore and Illumina platforms and comparing to the ARTIC LoCost nanopore method. Of the 154 samples sequenced using all 3 methods, ≥ 90% genome coverage was obtained for 64.3% using ARTIC LoCost, 71.4% using CoronaHiT-ONT and 76.6% using CoronaHiT-Illumina, with almost identical clustering on a maximum likelihood tree. This protocol will aid the rapid expansion of SARS-CoV-2 genome sequencing globally.

X Demographics

X Demographics

The data shown below were collected from the profiles of 94 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 %
Researcher 13 17%
Student > Ph. D. Student 7 9%
Student > Postgraduate 6 8%
Student > Master 6 8%
Student > Bachelor 5 7%
Other 16 21%
Unknown 23 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 17%
Medicine and Dentistry 10 13%
Agricultural and Biological Sciences 9 12%
Immunology and Microbiology 5 7%
Nursing and Health Professions 2 3%
Other 12 16%
Unknown 25 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 63. 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 15 April 2024.
All research outputs
#689,130
of 25,721,020 outputs
Outputs from Genome Medicine
#128
of 1,608 outputs
Outputs of similar age
#20,681
of 546,276 outputs
Outputs of similar age from Genome Medicine
#3
of 49 outputs
Altmetric has tracked 25,721,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,608 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one has done particularly well, scoring higher than 92% 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 546,276 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 96% of its contemporaries.
We're also able to compare this research output to 49 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 93% of its contemporaries.