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Express barcoding with NextGenPCR and MinION for species‐level sorting of ecological samples

Overview of attention for article published in Molecular Ecology Resources, January 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#40 of 2,004)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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102 X users

Citations

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7 Dimensions

Readers on

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25 Mendeley
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Title
Express barcoding with NextGenPCR and MinION for species‐level sorting of ecological samples
Published in
Molecular Ecology Resources, January 2024
DOI 10.1111/1755-0998.13922
Pubmed ID
Authors

Cristina Vasilita, Vivian Feng, Aslak Kappel Hansen, Emily Hartop, Amrita Srivathsan, Robin Struijk, Rudolf Meier

Abstract

The use of DNA barcoding is well established for specimen identification and large-scale biodiversity discovery, but remains underutilized for time-sensitive applications such as rapid species discovery in field stations, identifying pests, citizen science projects, and authenticating food. The main reason is that existing express barcoding workflows are either too expensive or can only be used in very well-equipped laboratories by highly-trained staff. We here show an alternative workflow combining rapid DNA extraction with HotSHOT, amplicon production with NextGenPCR thermocyclers, and sequencing with low-cost MinION sequencers. We demonstrate the power of the approach by generating 250 barcodes for 285 specimens within 6 h including specimen identification through BLAST. The workflow required only the following major equipment that easily fits onto a lab bench: Thermocycler, NextGenPCR, microplate sealer, Qubit, and MinION. Based on our results, we argue that simplified barcoding workflows for species-level sorting are now faster, more accurate, and sufficiently cost-effective to replace traditional morpho-species sorting in many projects.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 102 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 24%
Student > Ph. D. Student 4 16%
Student > Bachelor 2 8%
Student > Master 2 8%
Professor 1 4%
Other 1 4%
Unknown 9 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 40%
Biochemistry, Genetics and Molecular Biology 3 12%
Earth and Planetary Sciences 2 8%
Environmental Science 1 4%
Engineering 1 4%
Other 0 0%
Unknown 8 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 60. 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 17 February 2024.
All research outputs
#767,671
of 26,732,897 outputs
Outputs from Molecular Ecology Resources
#40
of 2,004 outputs
Outputs of similar age
#13,216
of 392,528 outputs
Outputs of similar age from Molecular Ecology Resources
#1
of 34 outputs
Altmetric has tracked 26,732,897 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 2,004 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done particularly well, scoring higher than 98% 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 392,528 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 34 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 97% of its contemporaries.