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Advances in plant gene-targeted and functional markers: a review

Overview of attention for article published in Plant Methods, February 2013
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  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

2 tweeters
1 Google+ user


193 Dimensions

Readers on

335 Mendeley
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Advances in plant gene-targeted and functional markers: a review
Published in
Plant Methods, February 2013
DOI 10.1186/1746-4811-9-6
Pubmed ID

Public genomic databases have provided new directions for molecular marker development and initiated a shift in the types of PCR-based techniques commonly used in plant science. Alongside commonly used arbitrarily amplified DNA markers, other methods have been developed. Targeted fingerprinting marker techniques are based on the well-established practices of arbitrarily amplified DNA methods, but employ novel methodological innovations such as the incorporation of gene or promoter elements in the primers. These markers provide good reproducibility and increased resolution by the concurrent incidence of dominant and co-dominant bands. Despite their promising features, these semi-random markers suffer from possible problems of collision and non-homology analogous to those found with randomly generated fingerprints. Transposable elements, present in abundance in plant genomes, may also be used to generate fingerprints. These markers provide increased genomic coverage by utilizing specific targeted sites and produce bands that mostly seem to be homologous. The biggest drawback with most of these techniques is that prior genomic information about retrotransposons is needed for primer design, prohibiting universal applications. Another class of recently developed methods exploits length polymorphism present in arrays of multi-copy gene families such as cytochrome P450 and β-tubulin genes to provide cross-species amplification and transferability. A specific class of marker makes use of common features of plant resistance genes to generate bands linked to a given phenotype, or to reveal genetic diversity. Conserved DNA-based strategies have limited genome coverage and may fail to reveal genetic diversity, while resistance genes may be under specific evolutionary selection. Markers may also be generated from functional and/or transcribed regions of the genome using different gene-targeting approaches coupled with the use of RNA information. Such techniques have the potential to generate phenotypically linked functional markers, especially when fingerprints are generated from the transcribed or expressed region of the genome. It is to be expected that these recently developed techniques will generate larger datasets, but their shortcomings should also be acknowledged and carefully investigated.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 335 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 <1%
Germany 2 <1%
Malaysia 1 <1%
Uganda 1 <1%
Netherlands 1 <1%
Ethiopia 1 <1%
Portugal 1 <1%
Bolivia, Plurinational State of 1 <1%
Italy 1 <1%
Other 6 2%
Unknown 317 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 78 23%
Researcher 71 21%
Student > Master 55 16%
Student > Bachelor 37 11%
Student > Doctoral Student 18 5%
Other 42 13%
Unknown 34 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 222 66%
Biochemistry, Genetics and Molecular Biology 44 13%
Computer Science 4 1%
Social Sciences 4 1%
Environmental Science 4 1%
Other 14 4%
Unknown 43 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 June 2013.
All research outputs
of 4,507,144 outputs
Outputs from Plant Methods
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Outputs of similar age
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Outputs of similar age from Plant Methods
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Altmetric has tracked 4,507,144 research outputs across all sources so far. This one has received more attention than most of these and is in the 58th percentile.
So far Altmetric has tracked 171 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 52% 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 89,220 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.