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Mendeley readers
Attention Score in Context
| Title |
Sequence and structure of Brassica rapachromosome A3
|
|---|---|
| Published in |
Genome Biology, September 2010
|
| DOI | 10.1186/gb-2010-11-9-r94 |
| Pubmed ID | |
| Authors |
Jeong-Hwan Mun, Soo-Jin Kwon, Young-Joo Seol, Jin A Kim, Mina Jin, Jung Sun Kim, Myung-Ho Lim, Soo-In Lee, Joon Ki Hong, Tae-Ho Park, Sang-Choon Lee, Beom-Jin Kim, Mi-Suk Seo, Seunghoon Baek, Min-Jee Lee, Ja Young Shin, Jang-Ho Hahn, Yoon-Jung Hwang, Ki-Byung Lim, Jee Young Park, Jonghoon Lee, Tae-Jin Yang, Hee-Ju Yu, Ik-Young Choi, Beom-Soon Choi, Su Ryun Choi, Nirala Ramchiary, Yong Pyo Lim, Fiona Fraser, Nizar Drou, Eleni Soumpourou, Martin Trick, Ian Bancroft, Andrew G Sharpe, Isobel AP Parkin, Jacqueline Batley, Dave Edwards, Beom-Seok Park |
| Abstract |
The species Brassica rapa includes important vegetable and oil crops. It also serves as an excellent model system to study polyploidy-related genome evolution because of its paleohexaploid ancestry and its close evolutionary relationships with Arabidopsis thaliana and other Brassica species with larger genomes. Therefore, its genome sequence will be used to accelerate both basic research on genome evolution and applied research across the cultivated Brassica species. |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| United States | 2 | 3% |
| Australia | 1 | 2% |
| Israel | 1 | 2% |
| Czechia | 1 | 2% |
| Chile | 1 | 2% |
| Argentina | 1 | 2% |
| Cuba | 1 | 2% |
| Greece | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 53 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 37% |
| Student > Ph. D. Student | 18 | 28% |
| Student > Bachelor | 4 | 6% |
| Professor > Associate Professor | 4 | 6% |
| Student > Postgraduate | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 71% |
| Biochemistry, Genetics and Molecular Biology | 9 | 14% |
| Medicine and Dentistry | 2 | 3% |
| Computer Science | 1 | 2% |
| Immunology and Microbiology | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 5 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 August 2014.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Genome Biology
#3,489
of 4,467 outputs
Outputs of similar age
#39,573
of 107,711 outputs
Outputs of similar age from Genome Biology
#22
of 39 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 14th percentile – i.e., 14% 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 107,711 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.