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De novo transcriptome sequencing of radish (Raphanus sativusL.) and analysis of major genes involved in glucosinolate metabolism

Overview of attention for article published in BMC Genomics, November 2013
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1 tweeter

Citations

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Title
De novo transcriptome sequencing of radish (Raphanus sativusL.) and analysis of major genes involved in glucosinolate metabolism
Published in
BMC Genomics, November 2013
DOI 10.1186/1471-2164-14-836
Pubmed ID
Authors

Yan Wang, Yan Pan, Zhe Liu, Xianwen Zhu, Lulu Zhai, Liang Xu, Rugang Yu, Yiqin Gong, Liwang Liu

Abstract

Radish (Raphanus sativus L.), is an important root vegetable crop worldwide. Glucosinolates in the fleshy taproot significantly affect the flavor and nutritional quality of radish. However, little is known about the molecular mechanisms underlying glucosinolate metabolism in radish taproots. The limited availability of radish genomic information has greatly hindered functional genomic analysis and molecular breeding in radish.

Twitter Demographics

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

Geographical breakdown

Country Count As %
Japan 1 2%
United Kingdom 1 2%
Colombia 1 2%
Sweden 1 2%
Unknown 44 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 27%
Researcher 12 25%
Student > Master 7 15%
Student > Bachelor 4 8%
Student > Doctoral Student 3 6%
Other 6 13%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 65%
Biochemistry, Genetics and Molecular Biology 7 15%
Medicine and Dentistry 3 6%
Environmental Science 1 2%
Chemistry 1 2%
Other 0 0%
Unknown 5 10%

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 27 November 2013.
All research outputs
#10,969,302
of 12,378,087 outputs
Outputs from BMC Genomics
#6,358
of 7,251 outputs
Outputs of similar age
#178,757
of 215,073 outputs
Outputs of similar age from BMC Genomics
#181
of 229 outputs
Altmetric has tracked 12,378,087 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 7,251 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% 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 215,073 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 229 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.