| Title |
The Nipponbare genome and the next-generation of rice genomics research in Japan
|
|---|---|
| Published in |
Rice, July 2016
|
| DOI | 10.1186/s12284-016-0107-4 |
| Pubmed ID | |
| Authors |
Takashi Matsumoto, Jianzhong Wu, Takeshi Itoh, Hisataka Numa, Baltazar Antonio, Takuji Sasaki |
| Abstract |
The map-based genome sequence of the japonica rice cultivar Nipponbare remains to date as the only monocot genome that has been sequenced to a high-quality level. It has become the reference sequence for understanding the diversity among thousands of rice cultivars and its wild relatives as well as the major cereal crops that comprised the food source for the entire human race. This review focuses on the accomplishments in rice genomics in Japan encompassing the last 10 years which have led into deeper understanding of the genome, characterization of many agronomic traits, comprehensive analysis of the transcriptome, and the map-based cloning of many genes associated with agronomic traits. |
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 % |
|---|---|---|
| Japan | 2 | 67% |
| Philippines | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sri Lanka | 1 | <1% |
| Unknown | 111 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 22% |
| Researcher | 19 | 17% |
| Student > Master | 13 | 12% |
| Student > Bachelor | 11 | 10% |
| Student > Doctoral Student | 6 | 5% |
| Other | 16 | 14% |
| Unknown | 22 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 56 | 50% |
| Biochemistry, Genetics and Molecular Biology | 16 | 14% |
| Environmental Science | 3 | 3% |
| Arts and Humanities | 2 | 2% |
| Business, Management and Accounting | 2 | 2% |
| Other | 8 | 7% |
| Unknown | 25 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 August 2022.
All research outputs
#3,310,984
of 23,006,268 outputs
Outputs from Rice
#35
of 388 outputs
Outputs of similar age
#63,249
of 364,782 outputs
Outputs of similar age from Rice
#1
of 9 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 388 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 90% 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 364,782 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them