| Title |
Mining of favorable alleles for lodging resistance traits in rice (oryza sativa) through association mapping
|
|---|---|
| Published in |
Planta, April 2018
|
| DOI | 10.1007/s00425-018-2885-y |
| Pubmed ID | |
| Authors |
Ognigamal Sowadan, Dalu Li, Yuanqing Zhang, Shangshang Zhu, Xiaoxiao Hu, Lal Bux Bhanbhro, Wisdom M. Edzesi, Xiaojing Dang, Delin Hong |
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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 24% |
| Student > Ph. D. Student | 6 | 21% |
| Professor | 2 | 7% |
| Student > Master | 2 | 7% |
| Student > Bachelor | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 8 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 52% |
| Biochemistry, Genetics and Molecular Biology | 5 | 17% |
| Medicine and Dentistry | 2 | 7% |
| Unknown | 7 | 24% |
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 14 September 2018.
All research outputs
#23,196,437
of 25,837,817 outputs
Outputs from Planta
#2,695
of 3,054 outputs
Outputs of similar age
#305,321
of 344,999 outputs
Outputs of similar age from Planta
#32
of 38 outputs
Altmetric has tracked 25,837,817 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 3,054 research outputs from this source. They receive a mean Attention Score of 3.5. 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 344,999 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 38 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.