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Comparative Genomics

Overview of attention for book
Attention for Chapter 13: Comparative Methods for Reconstructing Ancient Genome Organization
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1 tweeter

Citations

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Chapter title
Comparative Methods for Reconstructing Ancient Genome Organization
Chapter number 13
Book title
Comparative Genomics
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7463-4_13
Pubmed ID
Book ISBNs
978-1-4939-7461-0, 978-1-4939-7463-4
Authors

Yoann Anselmetti, Nina Luhmann, Sèverine Bérard, Eric Tannier, Cedric Chauve

Abstract

Comparative genomics considers the detection of similarities and differences between extant genomes, and, based on more or less formalized hypotheses regarding the involved evolutionary processes, inferring ancestral states explaining the similarities and an evolutionary history explaining the differences. In this chapter, we focus on the reconstruction of the organization of ancient genomes into chromosomes. We review different methodological approaches and software, applied to a wide range of datasets from different kingdoms of life and at different evolutionary depths. We discuss relations with genome assembly, and potential approaches to validate computational predictions on ancient genomes that are almost always only accessible through these predictions.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Professor 2 25%
Researcher 2 25%
Unspecified 1 13%
Student > Postgraduate 1 13%
Other 0 0%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 38%
Unspecified 1 13%
Computer Science 1 13%
Agricultural and Biological Sciences 1 13%
Unknown 2 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 January 2018.
All research outputs
#11,005,989
of 12,384,832 outputs
Outputs from Methods in molecular biology
#5,704
of 8,328 outputs
Outputs of similar age
#299,391
of 357,476 outputs
Outputs of similar age from Methods in molecular biology
#1,102
of 1,620 outputs
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So far Altmetric has tracked 8,328 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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