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Plant Cytogenetics and Cytogenomics

Overview of attention for book
Attention for Chapter: A Bioinformatic Pipeline to Estimate Ploidy Level from Target Capture Sequence Data Obtained from Herbarium Specimens.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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29 X users

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Chapter title
A Bioinformatic Pipeline to Estimate Ploidy Level from Target Capture Sequence Data Obtained from Herbarium Specimens.
Book title
Plant Cytogenetics and Cytogenomics
Published in
Methods in molecular biology, January 2023
DOI 10.1007/978-1-0716-3226-0_5
Pubmed ID
Book ISBNs
978-1-07-163225-3, 978-1-07-163226-0
Authors

Viruel, Juan, Hidalgo, Oriane, Pokorny, Lisa, Forest, Félix, Gravendeel, Barbara, Wilkin, Paul, Leitch, Ilia J, Leitch, Ilia J.

Abstract

Whole genome duplications (WGD) are frequent in many plant lineages; however, ploidy level variation is unknown in most species. The most widely used methods to estimate ploidy levels in plants are chromosome counts, which require living specimens, and flow cytometry estimates, which necessitate living or relatively recently collected samples. Newly described bioinformatic methods have been developed to estimate ploidy levels using high-throughput sequencing data, and these have been optimized in plants by calculating allelic ratio values from target capture data. This method relies on the maintenance of allelic ratios from the genome to the sequence data. For example, diploid organisms will generate allelic data in a 1:1 proportion, with an increasing number of possible allelic ratio combinations occurring in individuals with higher ploidy levels. In this chapter, we explain step-by-step this bioinformatic approach for the estimation of ploidy level.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Student > Doctoral Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 67%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 24 June 2023.
All research outputs
#1,921,217
of 26,179,045 outputs
Outputs from Methods in molecular biology
#254
of 14,394 outputs
Outputs of similar age
#40,226
of 487,587 outputs
Outputs of similar age from Methods in molecular biology
#5
of 715 outputs
Altmetric has tracked 26,179,045 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,394 research outputs from this source. They receive a mean Attention Score of 3.5. 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 487,587 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 91% of its contemporaries.
We're also able to compare this research output to 715 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 99% of its contemporaries.