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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Autotoxicity mechanism of Oryza sativa: transcriptome response in rice roots exposed to ferulic acid
|
|---|---|
| Published in |
BMC Genomics, May 2013
|
| DOI | 10.1186/1471-2164-14-351 |
| Pubmed ID | |
| Authors |
Wen-Chang Chi, Yun-An Chen, Yu-Chywan Hsiung, Shih-Feng Fu, Chang-Hung Chou, Ngoc Nam Trinh, Ying-Chih Chen, Hao-Jen Huang |
| Abstract |
Autotoxicity plays an important role in regulating crop yield and quality. To help characterize the autotoxicity mechanism of rice, we performed a large-scale, transcriptomic analysis of the rice root response to ferulic acid, an autotoxin from rice straw. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Mexico | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 60 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 25% |
| Researcher | 9 | 14% |
| Student > Master | 7 | 11% |
| Student > Doctoral Student | 5 | 8% |
| Professor > Associate Professor | 5 | 8% |
| Other | 12 | 19% |
| Unknown | 9 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 59% |
| Biochemistry, Genetics and Molecular Biology | 9 | 14% |
| Environmental Science | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 4 | 6% |
| Unknown | 8 | 13% |
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 12 September 2014.
All research outputs
#17,689,573
of 22,711,645 outputs
Outputs from BMC Genomics
#7,536
of 10,626 outputs
Outputs of similar age
#139,549
of 195,058 outputs
Outputs of similar age from BMC Genomics
#86
of 122 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,626 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 195,058 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.