↓ Skip to main content

Comprehensive analysis of Panax ginseng root transcriptomes

Overview of attention for article published in BMC Plant Biology, June 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
43 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Comprehensive analysis of Panax ginseng root transcriptomes
Published in
BMC Plant Biology, June 2015
DOI 10.1186/s12870-015-0527-0
Pubmed ID
Authors

Murukarthick Jayakodi, Sang-Choon Lee, Yun Sun Lee, Hyun-Seung Park, Nam-Hoon Kim, Woojong Jang, Hyun Oh Lee, Ho Jun Joh, Tae-Jin Yang

Abstract

Korean ginseng (Panax ginseng C.A. Meyer) is a highly effective medicinal plant containing ginsenosides with various pharmacological activities, whose roots are produced commercially for crude drugs. Here, we used the Illumina platform to generate over 232 million RNA sequencing reads from four root samples, including whole roots from one-year-old plants and three types of root tissue from six-year-old plants (i.e., main root bodies, rhizomes, and lateral roots). Through de novo assembly and reference-assisted selection, we obtained a non-redundant unigene set consisting of 55,949 transcripts with an average length of 1,250 bp. Among transcripts in the unigene set, 94 % were functionally annotated via similarity searches against protein databases. Approximately 28.6 % of the transcripts represent novel gene sequences that have not previously been reported for P. ginseng. Digital expression profiling revealed 364 genes showing differential expression patterns among the four root samples. Additionally, 32 were uniquely expressed in one-year-old roots, while seven were uniquely expressed in six-year-old root tissues. We identified 38 transcripts encoding enzymes involved in ginsenoside biosynthesis pathways and 189 encoding UDP-glycosyltransferases. Our analysis provides new insights into the role of the root transcriptome in development and secondary metabolite biosynthesis in P. ginseng.

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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Researcher 7 16%
Student > Master 6 14%
Professor > Associate Professor 3 7%
Student > Bachelor 2 5%
Other 3 7%
Unknown 13 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 53%
Biochemistry, Genetics and Molecular Biology 5 12%
Chemistry 1 2%
Unknown 14 33%
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 13 June 2015.
All research outputs
#15,336,434
of 22,811,321 outputs
Outputs from BMC Plant Biology
#1,486
of 3,245 outputs
Outputs of similar age
#155,168
of 264,930 outputs
Outputs of similar age from BMC Plant Biology
#34
of 62 outputs
Altmetric has tracked 22,811,321 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,245 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 42nd percentile – i.e., 42% 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 264,930 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.