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Characterisation of the wheat (triticum aestivum L.) transcriptome by de novo assembly for the discovery of phosphate starvation-responsive genes: gene expression in Pi-stressed wheat

Overview of attention for article published in BMC Genomics, February 2013
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3 X users

Citations

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103 Dimensions

Readers on

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184 Mendeley
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1 CiteULike
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Title
Characterisation of the wheat (triticum aestivum L.) transcriptome by de novo assembly for the discovery of phosphate starvation-responsive genes: gene expression in Pi-stressed wheat
Published in
BMC Genomics, February 2013
DOI 10.1186/1471-2164-14-77
Pubmed ID
Authors

Youko Oono, Fuminori Kobayashi, Yoshihiro Kawahara, Takayuki Yazawa, Hirokazu Handa, Takeshi Itoh, Takashi Matsumoto

Abstract

Phosphorus (P) is an essential macronutrient for plant growth and development. To modulate their P homeostasis, plants must balance P uptake, mobilisation, and partitioning to various organs. Despite the worldwide importance of wheat as a cultivated food crop, molecular mechanisms associated with phosphate (Pi) starvation in wheat remain unclear. To elucidate these mechanisms, we used RNA-Seq methods to generate transcriptome profiles of the wheat variety 'Chinese Spring' responding to 10 days of Pi starvation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Italy 1 <1%
Australia 1 <1%
Brazil 1 <1%
Paraguay 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
China 1 <1%
Unknown 176 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 29%
Researcher 40 22%
Student > Master 19 10%
Student > Doctoral Student 9 5%
Student > Bachelor 8 4%
Other 28 15%
Unknown 26 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 119 65%
Biochemistry, Genetics and Molecular Biology 26 14%
Computer Science 4 2%
Earth and Planetary Sciences 2 1%
Linguistics 1 <1%
Other 2 1%
Unknown 30 16%
Attention Score in Context

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 20 August 2013.
All research outputs
#15,982,037
of 25,373,627 outputs
Outputs from BMC Genomics
#6,064
of 11,244 outputs
Outputs of similar age
#179,463
of 291,530 outputs
Outputs of similar age from BMC Genomics
#86
of 173 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 45th percentile – i.e., 45% 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 291,530 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.