↓ Skip to main content

SNP-based analysis of genetic diversity in anther-derived rice by whole genome sequencing

Overview of attention for article published in Rice, March 2013
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
48 Mendeley
Title
SNP-based analysis of genetic diversity in anther-derived rice by whole genome sequencing
Published in
Rice, March 2013
DOI 10.1186/1939-8433-6-6
Pubmed ID
Authors

In-Seon Jeong, Ung-Han Yoon, Gang-Seob Lee, Hyeon-So Ji, Hyun-Ju Lee, Chang-Deok Han, Jang-Ho Hahn, Gynheung An, Tae-Ho Kim

Abstract

Anther culture has advantage to obtain a homozygous progeny by induced doubling of haploid chromosomes and to improve selection efficiency for invaluable agronomical traits. Therefore, anther culturing is widely utilized to breed new varieties and to induce genetic variations in several crops including rice. Genome sequencing technologies allow the detection of a massive number of DNA polymorphism such as SNPs and Indels between closely related cultivars. These DNA polymorphisms permit the rapid identification of genetic diversity among cultivars and genomic locations of heritable traits. To estimate sequence diversity derived from anther culturing, we performed whole-genome resequencing of five Korean rice accessions, including three anther culture lines (BLB, HY-04 and HY-08), their progenitor cultivar (Hwayeong), and an additional japonica cultivar (Dongjin).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 4%
Indonesia 1 2%
Ethiopia 1 2%
France 1 2%
China 1 2%
Unknown 42 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 27%
Student > Ph. D. Student 10 21%
Student > Master 5 10%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Other 5 10%
Unknown 9 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 56%
Biochemistry, Genetics and Molecular Biology 6 13%
Environmental Science 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Computer Science 1 2%
Other 2 4%
Unknown 10 21%
Attention Score in Context

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 14 March 2013.
All research outputs
#20,185,720
of 22,701,287 outputs
Outputs from Rice
#299
of 381 outputs
Outputs of similar age
#171,811
of 196,101 outputs
Outputs of similar age from Rice
#4
of 6 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 381 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 196,101 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.