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De novo leaf and root transcriptome analysis identified novel genes involved in Steroidal sapogenin biosynthesis in Asparagus racemosus

Overview of attention for article published in BMC Genomics, August 2014
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Title
De novo leaf and root transcriptome analysis identified novel genes involved in Steroidal sapogenin biosynthesis in Asparagus racemosus
Published in
BMC Genomics, August 2014
DOI 10.1186/1471-2164-15-746
Pubmed ID
Authors

Swati Upadhyay, Ujjal J Phukan, Sonal Mishra, Rakesh Kumar Shukla

Abstract

Saponins are mainly amphipathic glycosides that posses many biological activities and confer potential health benefits to humans. Inspite of its medicinal attributes most of the triterpenes and enzymes involved in the saponin biosynthesis remains uncharacterized at the molecular level. Since the major steroidal components are present in the roots of A. racemosus our study is focussed on the comparative denovo transcriptome analysis of root versus leaf tissue and identifying some root specific transcripts involved in saponin biosynthesis using high-throughput next generation transcriptome sequencing.

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The data shown below were collected from the profiles of 2 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 3%
Japan 1 1%
Unknown 73 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 33%
Researcher 16 21%
Student > Master 9 12%
Student > Doctoral Student 4 5%
Professor > Associate Professor 4 5%
Other 8 11%
Unknown 10 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 49%
Biochemistry, Genetics and Molecular Biology 17 22%
Medicine and Dentistry 2 3%
Nursing and Health Professions 2 3%
Environmental Science 1 1%
Other 3 4%
Unknown 14 18%
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 29 May 2015.
All research outputs
#18,376,927
of 22,761,738 outputs
Outputs from BMC Genomics
#8,168
of 10,638 outputs
Outputs of similar age
#168,155
of 236,046 outputs
Outputs of similar age from BMC Genomics
#131
of 181 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,638 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 181 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.