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Mendeley readers
Attention Score in Context
| Title |
A genomic perspective on the important genetic mechanisms of upland adaptation of rice
|
|---|---|
| Published in |
BMC Plant Biology, June 2014
|
| DOI | 10.1186/1471-2229-14-160 |
| Pubmed ID | |
| Authors |
Jun Lyu, Baoye Li, Weiming He, Shilai Zhang, Zhiheng Gou, Jing Zhang, Liyun Meng, Xin Li, Dayun Tao, Wangqi Huang, Fengyi Hu, Wen Wang |
| Abstract |
Cultivated rice consists of two important ecotypes, upland and irrigated, that have respectively adapted to either dry land or irrigated cultivation. Upland rice, widely adopted in rainfed upland areas in virtue of its little water requirement, contains abundant untapped genetic resources, such as genes for drought adaptation. With water shortage exacerbated and population expanding, the need for breeding crop varieties with drought adaptation becomes more and more urgent. However, a previous oversight in upland rice research reveals little information regarding its genetic mechanisms for upland adaption, greatly hindering progress in harnessing its genetic resources for breeding and cultivation. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 48 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 20% |
| Student > Ph. D. Student | 7 | 14% |
| Professor | 5 | 10% |
| Student > Master | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Other | 10 | 20% |
| Unknown | 9 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 52% |
| Biochemistry, Genetics and Molecular Biology | 8 | 16% |
| Economics, Econometrics and Finance | 2 | 4% |
| Earth and Planetary Sciences | 2 | 4% |
| Psychology | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 11 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 17 January 2015.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from BMC Plant Biology
#2,816
of 3,588 outputs
Outputs of similar age
#209,514
of 243,406 outputs
Outputs of similar age from BMC Plant Biology
#50
of 64 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,588 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% 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 243,406 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.