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Design of a tobacco exon array with application to investigate the differential cadmium accumulation property in two tobacco varieties

Overview of attention for article published in BMC Genomics, November 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

patent
1 patent

Citations

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14 Dimensions

Readers on

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16 Mendeley
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Title
Design of a tobacco exon array with application to investigate the differential cadmium accumulation property in two tobacco varieties
Published in
BMC Genomics, November 2012
DOI 10.1186/1471-2164-13-674
Pubmed ID
Authors

Florian Martin, Lucien Bovet, Audrey Cordier, Mario Stanke, Irfan Gunduz, Manuel C Peitsch, Nikolai V Ivanov

Abstract

For decades the tobacco plant has served as a model organism in plant biology to answer fundamental biological questions in the areas of plant development, physiology, and genetics. Due to the lack of sufficient coverage of genomic sequences, however, none of the expressed sequence tag (EST)-based chips developed to date cover gene expression from the whole genome. The availability of Tobacco Genome Initiative (TGI) sequences provides a useful resource to build a whole genome exon array, even if the assembled sequences are highly fragmented. Here, the design of a Tobacco Exon Array is reported and an application to improve the understanding of genes regulated by cadmium (Cd) in tobacco is described.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Professor > Associate Professor 3 19%
Professor 2 13%
Researcher 2 13%
Student > Master 2 13%
Other 1 6%
Unknown 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 44%
Biochemistry, Genetics and Molecular Biology 4 25%
Engineering 2 13%
Medicine and Dentistry 1 6%
Unknown 2 13%

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 21 January 2016.
All research outputs
#2,499,788
of 9,375,258 outputs
Outputs from BMC Genomics
#2,008
of 6,410 outputs
Outputs of similar age
#87,987
of 297,748 outputs
Outputs of similar age from BMC Genomics
#65
of 199 outputs
Altmetric has tracked 9,375,258 research outputs across all sources so far. This one has received more attention than most of these and is in the 59th percentile.
So far Altmetric has tracked 6,410 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 62% 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 297,748 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 66% of its contemporaries.
We're also able to compare this research output to 199 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.