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Identification and validation of quantitative real-time reverse transcription PCR reference genes for gene expression analysis in teak (Tectona grandis L.f.)

Overview of attention for article published in BMC Research Notes, July 2014
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Title
Identification and validation of quantitative real-time reverse transcription PCR reference genes for gene expression analysis in teak (Tectona grandis L.f.)
Published in
BMC Research Notes, July 2014
DOI 10.1186/1756-0500-7-464
Pubmed ID
Authors

Esteban Galeano, Tarcísio Sales Vasconcelos, Daniel Alves Ramiro, Valentina de Fátima De Martin, Helaine Carrer

Abstract

Teak (Tectona grandis L.f.) is currently the preferred choice of the timber trade for fabrication of woody products due to its extraordinary qualities and is widely grown around the world. Gene expression studies are essential to explore wood formation of vascular plants, and quantitative real-time reverse transcription PCR (qRT-PCR) is a sensitive technique employed for quantifying gene expression levels. One or more appropriate reference genes are crucial to accurately compare mRNA transcripts through different tissues/organs and experimental conditions. Despite being the focus of some genetic studies, a lack of molecular information has hindered genetic exploration of teak. To date, qRT-PCR reference genes have not been identified and validated for teak.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 4%
India 1 2%
Malaysia 1 2%
Unknown 44 92%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 25%
Researcher 10 21%
Student > Ph. D. Student 6 13%
Student > Master 6 13%
Professor 3 6%
Other 6 13%
Unknown 5 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 46%
Biochemistry, Genetics and Molecular Biology 6 13%
Unspecified 2 4%
Chemical Engineering 1 2%
Veterinary Science and Veterinary Medicine 1 2%
Other 7 15%
Unknown 9 19%
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 24 February 2015.
All research outputs
#20,262,276
of 22,792,160 outputs
Outputs from BMC Research Notes
#3,559
of 4,262 outputs
Outputs of similar age
#192,506
of 228,611 outputs
Outputs of similar age from BMC Research Notes
#104
of 125 outputs
Altmetric has tracked 22,792,160 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 4,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.