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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, January 2014
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2 tweeters

Citations

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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, January 2014
DOI 10.1186/1471-2164-15-746
Pubmed ID
Authors

Swati Upadhyay, Ujjal J Phukan, Sonal Mishra, Rakesh 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.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 4%
Mexico 1 2%
Japan 1 2%
Unknown 52 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 34%
Researcher 12 21%
Student > Master 6 11%
Professor > Associate Professor 4 7%
Student > Postgraduate 3 5%
Other 8 14%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 64%
Biochemistry, Genetics and Molecular Biology 10 18%
Medicine and Dentistry 2 4%
Nursing and Health Professions 1 2%
Unspecified 1 2%
Other 0 0%
Unknown 6 11%

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
#3,626,082
of 5,163,199 outputs
Outputs from BMC Genomics
#3,729
of 4,691 outputs
Outputs of similar age
#90,729
of 135,660 outputs
Outputs of similar age from BMC Genomics
#200
of 255 outputs
Altmetric has tracked 5,163,199 research outputs across all sources so far. This one is in the 16th percentile – i.e., 16% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,691 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 10th percentile – i.e., 10% 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 135,660 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.