↓ Skip to main content

Transcriptomic landscape of Pueraria lobata demonstrates potential for phytochemical study

Overview of attention for article published in Frontiers in Plant Science, 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
facebook
1 Facebook page

Readers on

mendeley
37 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
Transcriptomic landscape of Pueraria lobata demonstrates potential for phytochemical study
Published in
Frontiers in Plant Science, June 2015
DOI 10.3389/fpls.2015.00426
Pubmed ID
Authors

Rongchun Han, Hiroki Takahashi, Michimi Nakamura, Naoko Yoshimoto, Hideyuki Suzuki, Daisuke Shibata, Mami Yamazaki, Kazuki Saito

Abstract

Pueraria lobata (Willd.) Ohwi has a long and broad application in the treatment of disease. However, in the US and EU, it is treated as a notorious weed. The information to be gained from decoding the deep transcriptome profile would facilitate further research on P. lobata. In this study, more than 93 million fastq format reads were generated by Illumina's next-generation sequencing approach using five types of P. lobata tissue, followed by CLC de novo assembly methods, ultimately yielding about 83,041 contigs in total. Then BLASTx similarity searches against the NCBI NR database and UniProtKB database were conducted. Once the duplicates among BLASTx hits were eliminated, ID mapping against the UniProt database was conducted online to retrieve Gene Ontology information. In search of the putative genes relevant to essential biosynthesis pathways, all 1,348 unique enzyme commission numbers were used to map pathways against the Kyoto Encyclopedia of Genes and Genomes. Enzymes related to the isoflavonoid and flavonoid biosynthesis pathways were focused for detailed investigation and subsequently, quantitative real-time reverse transcription polymerase chain reaction was conducted for biological validation. Metabolites of interest, puerarin and daidzin were studied by HPLC. The findings in this report may serve as a footstone for further research into this promising medicinal plant.

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

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Researcher 5 14%
Student > Master 4 11%
Student > Bachelor 2 5%
Professor 2 5%
Other 8 22%
Unknown 8 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 35%
Agricultural and Biological Sciences 12 32%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Arts and Humanities 1 3%
Psychology 1 3%
Other 1 3%
Unknown 8 22%
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 28 January 2016.
All research outputs
#14,812,531
of 22,807,037 outputs
Outputs from Frontiers in Plant Science
#9,228
of 20,084 outputs
Outputs of similar age
#145,004
of 263,857 outputs
Outputs of similar age from Frontiers in Plant Science
#114
of 277 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,084 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 47th percentile – i.e., 47% 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 263,857 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 277 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.