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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hybrid de novo genome assembly of the Chinese herbal plant danshen (Salvia miltiorrhiza Bunge)
|
|---|---|
| Published in |
Giga Science, December 2015
|
| DOI | 10.1186/s13742-015-0104-3 |
| Pubmed ID | |
| Authors |
Guanghui Zhang, Yang Tian, Jing Zhang, Liping Shu, Shengchao Yang, Wen Wang, Jun Sheng, Yang Dong, Wei Chen |
| Abstract |
Danshen (Salvia miltiorrhiza Bunge), also known as Chinese red sage, is a member of Lamiaceae family. It is valued in traditional Chinese medicine, primarily for the treatment of cardiovascular and cerebrovascular diseases. Because of its pharmacological potential, ongoing research aims to identify novel bioactive compounds in danshen, and their biosynthetic pathways. To date, only expressed sequence tag (EST) and RNA-seq data for this herbal plant are available to the public. We therefore propose that the construction of a reference genome for danshen will help elucidate the biosynthetic pathways of important secondary metabolites, thereby advancing the investigation of novel drugs from this plant. We assembled the highly heterozygous danshen genome with the help of 395 × raw read coverage using Illumina technologies and about 10 × raw read coverage by using single molecular sequencing technology. The final draft genome is approximately 641 Mb, with a contig N50 size of 82.8 kb and a scaffold N50 size of 1.2 Mb. Further analyses predicted 34,598 protein-coding genes and 1,644 unique gene families in the danshen genome. The draft danshen genome will provide a valuable resource for the investigation of novel bioactive compounds in this Chinese herb. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hong Kong | 2 | 22% |
| Netherlands | 1 | 11% |
| Canada | 1 | 11% |
| United States | 1 | 11% |
| France | 1 | 11% |
| United Kingdom | 1 | 11% |
| China | 1 | 11% |
| Unknown | 1 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 67% |
| Members of the public | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Netherlands | 1 | 1% |
| Unknown | 80 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 23% |
| Student > Ph. D. Student | 17 | 20% |
| Other | 6 | 7% |
| Student > Postgraduate | 6 | 7% |
| Student > Master | 6 | 7% |
| Other | 16 | 19% |
| Unknown | 14 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 50% |
| Biochemistry, Genetics and Molecular Biology | 18 | 21% |
| Computer Science | 4 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Medicine and Dentistry | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 18 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 18 June 2019.
All research outputs
#2,054,479
of 25,374,917 outputs
Outputs from Giga Science
#405
of 1,168 outputs
Outputs of similar age
#33,606
of 396,115 outputs
Outputs of similar age from Giga Science
#10
of 22 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,168 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has gotten more attention than average, scoring higher than 65% 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 396,115 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.