↓ Skip to main content

The Challenge of Analyzing the Sugarcane Genome

Overview of attention for article published in Frontiers in Plant Science, May 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
8 X users
patent
2 patents

Citations

dimensions_citation
88 Dimensions

Readers on

mendeley
185 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
The Challenge of Analyzing the Sugarcane Genome
Published in
Frontiers in Plant Science, May 2018
DOI 10.3389/fpls.2018.00616
Pubmed ID
Authors

Prathima P. Thirugnanasambandam, Nam V. Hoang, Robert J. Henry

Abstract

Reference genome sequences have become key platforms for genetics and breeding of the major crop species. Sugarcane is probably the largest crop produced in the world (in weight of crop harvested) but lacks a reference genome sequence. Sugarcane has one of the most complex genomes in crop plants due to the extreme level of polyploidy. The genome of modern sugarcane hybrids includes sub-genomes from two progenitors Saccharum officinarum and S. spontaneum with some chromosomes resulting from recombination between these sub-genomes. Advancing DNA sequencing technologies and strategies for genome assembly are making the sugarcane genome more tractable. Advances in long read sequencing have allowed the generation of a more complete set of sugarcane gene transcripts. This is supporting transcript profiling in genetic research. The progenitor genomes are being sequenced. A monoploid coverage of the hybrid genome has been obtained by sequencing BAC clones that cover the gene space of the closely related sorghum genome. The complete polyploid genome is now being sequenced and assembled. The emerging genome will allow comparison of related genomes and increase understanding of the functioning of this polyploidy system. Sugarcane breeding for traditional sugar and new energy and biomaterial uses will be enhanced by the availability of these genomic resources.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 185 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 28 15%
Student > Master 26 14%
Researcher 24 13%
Student > Ph. D. Student 21 11%
Student > Doctoral Student 11 6%
Other 27 15%
Unknown 48 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 77 42%
Biochemistry, Genetics and Molecular Biology 36 19%
Unspecified 6 3%
Computer Science 3 2%
Environmental Science 2 1%
Other 6 3%
Unknown 55 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 14 November 2023.
All research outputs
#4,157,634
of 25,367,237 outputs
Outputs from Frontiers in Plant Science
#2,057
of 24,590 outputs
Outputs of similar age
#75,337
of 340,862 outputs
Outputs of similar age from Frontiers in Plant Science
#56
of 441 outputs
Altmetric has tracked 25,367,237 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,590 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 91% 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 340,862 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 441 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.