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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Whole-genome sequencing reveals untapped genetic potential in Africa’s indigenous cereal crop sorghum
|
|---|---|
| Published in |
Nature Communications, August 2013
|
| DOI | 10.1038/ncomms3320 |
| Pubmed ID | |
| Authors |
Emma S. Mace, Shuaishuai Tai, Edward K. Gilding, Yanhong Li, Peter J. Prentis, Lianle Bian, Bradley C. Campbell, Wushu Hu, David J. Innes, Xuelian Han, Alan Cruickshank, Changming Dai, Céline Frère, Haikuan Zhang, Colleen H. Hunt, Xianyuan Wang, Tracey Shatte, Miao Wang, Zhe Su, Jun Li, Xiaozhen Lin, Ian D. Godwin, David R. Jordan, Jun Wang |
| Abstract |
Sorghum is a food and feed cereal crop adapted to heat and drought and a staple for 500 million of the world's poorest people. Its small diploid genome and phenotypic diversity make it an ideal C4 grass model as a complement to C3 rice. Here we present high coverage (16-45 × ) resequenced genomes of 44 sorghum lines representing the primary gene pool and spanning dimensions of geographic origin, end-use and taxonomic group. We also report the first resequenced genome of S. propinquum, identifying 8 M high-quality SNPs, 1.9 M indels and specific gene loss and gain events in S. bicolor. We observe strong racial structure and a complex domestication history involving at least two distinct domestication events. These assembled genomes enable the leveraging of existing cereal functional genomics data against the novel diversity available in sorghum, providing an unmatched resource for the genetic improvement of sorghum and other grass species. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 18% |
| Australia | 2 | 18% |
| China | 1 | 9% |
| Germany | 1 | 9% |
| Netherlands | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 383 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 2% |
| China | 5 | 1% |
| France | 3 | <1% |
| Switzerland | 2 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Israel | 1 | <1% |
| Netherlands | 1 | <1% |
| Austria | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 357 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 92 | 24% |
| Student > Ph. D. Student | 86 | 22% |
| Student > Master | 41 | 11% |
| Professor > Associate Professor | 21 | 5% |
| Student > Doctoral Student | 18 | 5% |
| Other | 54 | 14% |
| Unknown | 71 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 233 | 61% |
| Biochemistry, Genetics and Molecular Biology | 36 | 9% |
| Environmental Science | 7 | 2% |
| Computer Science | 5 | 1% |
| Mathematics | 3 | <1% |
| Other | 18 | 5% |
| Unknown | 81 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 102. 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 01 March 2017.
All research outputs
#360,136
of 23,316,003 outputs
Outputs from Nature Communications
#5,967
of 48,219 outputs
Outputs of similar age
#2,867
of 201,656 outputs
Outputs of similar age from Nature Communications
#33
of 367 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 48,219 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.1. This one has done well, scoring higher than 87% 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 201,656 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 98% of its contemporaries.
We're also able to compare this research output to 367 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.