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Attention Score in Context
Title |
Genome-wide patterns of genetic variation in sweet and grain sorghum (Sorghum bicolor)
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Published in |
Genome Biology, November 2011
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DOI | 10.1186/gb-2011-12-11-r114 |
Pubmed ID | |
Authors |
Lei-Ying Zheng, Xiao-Sen Guo, Bing He, Lian-Jun Sun, Yao Peng, Shan-Shan Dong, Teng-Fei Liu, Shuye Jiang, Srinivasan Ramachandran, Chun-Ming Liu, Hai-Chun Jing |
Abstract |
Sorghum (Sorghum bicolor) is globally produced as a source of food, feed, fiber and fuel. Grain and sweet sorghums differ in a number of important traits, including stem sugar and juice accumulation, plant height as well as grain and biomass production. The first whole genome sequence of a grain sorghum is available, but additional genome sequences are required to study genome-wide and intraspecific variation for dissecting the genetic basis of these important traits and for tailor-designed breeding of this important C4 crop. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 33% |
China | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 276 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 1% |
Italy | 2 | <1% |
Brazil | 2 | <1% |
Spain | 2 | <1% |
Australia | 1 | <1% |
Senegal | 1 | <1% |
Thailand | 1 | <1% |
Hong Kong | 1 | <1% |
Japan | 1 | <1% |
Other | 1 | <1% |
Unknown | 260 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 77 | 28% |
Student > Ph. D. Student | 60 | 22% |
Student > Doctoral Student | 24 | 9% |
Student > Master | 22 | 8% |
Student > Bachelor | 13 | 5% |
Other | 44 | 16% |
Unknown | 36 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 195 | 71% |
Biochemistry, Genetics and Molecular Biology | 20 | 7% |
Unspecified | 4 | 1% |
Computer Science | 2 | <1% |
Environmental Science | 2 | <1% |
Other | 8 | 3% |
Unknown | 45 | 16% |
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 16 March 2019.
All research outputs
#2,078,706
of 26,017,215 outputs
Outputs from Genome Biology
#1,738
of 4,513 outputs
Outputs of similar age
#14,007
of 251,427 outputs
Outputs of similar age from Genome Biology
#13
of 42 outputs
Altmetric has tracked 26,017,215 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 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 61% 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 251,427 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 94% of its contemporaries.
We're also able to compare this research output to 42 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 69% of its contemporaries.