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Attention Score in Context
Title |
Transcriptome analysis of Bupleurum chinense focusing on genes involved in the biosynthesis of saikosaponins
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Published in |
BMC Genomics, November 2011
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DOI | 10.1186/1471-2164-12-539 |
Pubmed ID | |
Authors |
Chun Sui, Jie Zhang, Jianhe Wei, Shilin Chen, Ying Li, Jiesen Xu, Yue Jin, Caixiang Xie, Zhihui Gao, Hongjiang Chen, Chengmin Yang, Zheng Zhang, Yanhong Xu |
Abstract |
Bupleurum chinense DC. is a widely used traditional Chinese medicinal plant. Saikosaponins are the major bioactive constituents of B. chinense, but relatively little is known about saikosaponin biosynthesis. The 454 pyrosequencing technology provides a promising opportunity for finding novel genes that participate in plant metabolism. Consequently, this technology may help to identify the candidate genes involved in the saikosaponin biosynthetic pathway. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 2% |
United States | 1 | 2% |
Austria | 1 | 2% |
Unknown | 46 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 27% |
Researcher | 9 | 18% |
Student > Master | 5 | 10% |
Other | 3 | 6% |
Professor > Associate Professor | 3 | 6% |
Other | 8 | 16% |
Unknown | 8 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 25 | 51% |
Biochemistry, Genetics and Molecular Biology | 7 | 14% |
Environmental Science | 2 | 4% |
Chemistry | 2 | 4% |
Immunology and Microbiology | 1 | 2% |
Other | 3 | 6% |
Unknown | 9 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 30 November 2022.
All research outputs
#6,430,089
of 23,253,955 outputs
Outputs from BMC Genomics
#2,763
of 10,734 outputs
Outputs of similar age
#39,193
of 143,028 outputs
Outputs of similar age from BMC Genomics
#25
of 104 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 10,734 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 73% of its peers.
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 143,028 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.