↓ Skip to main content

Application of large-scale sequencing to marker discovery in plants

Overview of attention for article published in Journal of Biosciences, October 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

wikipedia
4 Wikipedia pages

Readers on

mendeley
98 Mendeley
citeulike
1 CiteULike
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.
Article details
Title
Application of large-scale sequencing to marker discovery in plants
Published in
Journal of Biosciences, October 2012
DOI 10.1007/s12038-012-9253-z
Pubmed ID
Authors
Abstract

Advances in DNA sequencing provide tools for efficient large-scale discovery of markers for use in plants. Discovery options include large-scale amplicon sequencing, transcriptome sequencing, gene-enriched genome sequencing and whole genome sequencing. Examples of each of these approaches and their potential to generate molecular markers for specific applications have been described. Sequencing the whole genome of parents identifies all the polymorphisms available for analysis in their progeny. Sequencing PCR amplicons of sets of candidate genes from DNA bulks can be used to define the available variation in these genes that might be exploited in a population or germplasm collection. Sequencing of the transcriptomes of genotypes varying for the trait of interest may identify genes with patterns of expression that could explain the phenotypic variation. Sequencing genomic DNA enriched for genes by hybridization with probes for all or some of the known genes simplifies sequencing and analysis of differences in gene sequences between large numbers of genotypes and genes especially when working with complex genomes. Examples of application of the above-mentioned techniques have been described.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
India 2 2%
Uganda 1 1%
Saudi Arabia 1 1%
Indonesia 1 1%
Spain 1 1%
Germany 1 1%
Unknown 91 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 25 26%
Researcher 18 18%
Student > Master 11 11%
Student > Postgraduate 7 7%
Student > Doctoral Student 6 6%
Other 16 16%
Unknown 15 15%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 67 68%
Biochemistry, Genetics and Molecular Biology 4 4%
Medicine and Dentistry 3 3%
Environmental Science 2 2%
Computer Science 2 2%
Other 4 4%
Unknown 16 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 February 2021.
All research outputs
#9,347,713
of 27,264,936 outputs
Outputs from Journal of Biosciences
#64
of 228 outputs
Outputs of similar age
#70,442
of 199,149 outputs
Outputs of similar age from Journal of Biosciences
#3
of 4 outputs
Altmetric has tracked 27,264,936 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 228 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 31st percentile – i.e., 31% 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 199,149 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.