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A new RNASeq-based reference transcriptome for sugar beet and its application in transcriptome-scale analysis of vernalization and gibberellin responses

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
2 blogs

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
129 Mendeley
citeulike
3 CiteULike
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Title
A new RNASeq-based reference transcriptome for sugar beet and its application in transcriptome-scale analysis of vernalization and gibberellin responses
Published in
BMC Genomics, January 2012
DOI 10.1186/1471-2164-13-99
Pubmed ID
Authors

Effie S Mutasa-Göttgens, Anagha Joshi, Helen F Holmes, Peter Hedden, Berthold Göttgens

Abstract

Sugar beet (Beta vulgaris sp. vulgaris) crops account for about 30% of world sugar. Sugar yield is compromised by reproductive growth hence crops must remain vegetative until harvest. Prolonged exposure to cold temperature (vernalization) in the range 6 °C to 12 °C induces reproductive growth, leading to bolting (rapid elongation of the main stem) and flowering. Spring cultivation of crops in cool temperate climates makes them vulnerable to vernalization and hence bolting, which is initiated in the apical shoot meristem in processes involving interaction between gibberellin (GA) hormones and vernalization. The underlying mechanisms are unknown and genome scale next generation sequencing approaches now offer comprehensive strategies to investigate them; enabling the identification of novel targets for bolting control in sugar beet crops. In this study, we demonstrate the application of an mRNA-Seq based strategy for this purpose.

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 2%
Brazil 2 2%
Portugal 1 <1%
Chile 1 <1%
France 1 <1%
Netherlands 1 <1%
Colombia 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Other 3 2%
Unknown 115 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 25%
Student > Ph. D. Student 30 23%
Student > Master 17 13%
Professor > Associate Professor 13 10%
Student > Doctoral Student 10 8%
Other 20 16%
Unknown 7 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 102 79%
Biochemistry, Genetics and Molecular Biology 6 5%
Environmental Science 3 2%
Computer Science 3 2%
Medicine and Dentistry 2 2%
Other 2 2%
Unknown 11 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 26 March 2013.
All research outputs
#1,251,441
of 12,373,620 outputs
Outputs from BMC Genomics
#658
of 7,313 outputs
Outputs of similar age
#16,544
of 144,485 outputs
Outputs of similar age from BMC Genomics
#4
of 30 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,313 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 91% 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 144,485 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.