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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genomic regions involved in yield potential detected by genome-wide association analysis in Japanese high-yielding rice cultivars
|
|---|---|
| Published in |
BMC Genomics, May 2014
|
| DOI | 10.1186/1471-2164-15-346 |
| Pubmed ID | |
| Authors |
Jun-ichi Yonemaru, Ritsuko Mizobuchi, Hiroshi Kato, Toshio Yamamoto, Eiji Yamamoto, Kazuki Matsubara, Hideyuki Hirabayashi, Yoshinobu Takeuchi, Hiroshi Tsunematsu, Takuro Ishii, Hisatoshi Ohta, Hideo Maeda, Kaworu Ebana, Masahiro Yano |
| Abstract |
High-yielding cultivars of rice (Oryza sativa L.) have been developed in Japan from crosses between overseas indica and domestic japonica cultivars. Recently, next-generation sequencing technology and high-throughput genotyping systems have shown many single-nucleotide polymorphisms (SNPs) that are proving useful for detailed analysis of genome composition. These SNPs can be used in genome-wide association studies to detect candidate genome regions associated with economically important traits. In this study, we used a custom SNP set to identify introgressed chromosomal regions in a set of high-yielding Japanese rice cultivars, and we performed an association study to identify genome regions associated with yield. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 3 | 50% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 1% |
| Netherlands | 1 | 1% |
| Sri Lanka | 1 | 1% |
| China | 1 | 1% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 65 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 31% |
| Student > Ph. D. Student | 15 | 21% |
| Student > Master | 11 | 15% |
| Student > Bachelor | 4 | 6% |
| Professor > Associate Professor | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 62% |
| Biochemistry, Genetics and Molecular Biology | 10 | 14% |
| Computer Science | 4 | 6% |
| Environmental Science | 1 | 1% |
| Neuroscience | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 10 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 09 May 2014.
All research outputs
#7,848,328
of 25,371,288 outputs
Outputs from BMC Genomics
#3,416
of 11,244 outputs
Outputs of similar age
#71,797
of 242,096 outputs
Outputs of similar age from BMC Genomics
#72
of 259 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 69% 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 242,096 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 70% of its contemporaries.
We're also able to compare this research output to 259 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 71% of its contemporaries.