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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of RNA silencing components in soybean and sorghum
|
|---|---|
| Published in |
BMC Bioinformatics, January 2014
|
| DOI | 10.1186/1471-2105-15-4 |
| Pubmed ID | |
| Authors |
Xiang Liu, Tao Lu, Yongchao Dou, Bin Yu, Chi Zhang |
| Abstract |
RNA silencing is a process triggered by 21-24 small RNAs to repress gene expression. Many organisms including plants use RNA silencing to regulate development and physiology, and to maintain genome stability. Plants possess two classes of small RNAs: microRNAs (miRNAs) and small interfering RNAs (siRNAs). The frameworks of miRNA and siRNA pathways have been established in the model plant, Arabidopsis thaliana (Arabidopsis). |
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 % |
|---|---|---|
| Norway | 1 | 33% |
| France | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Philippines | 1 | 1% |
| Sweden | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 86 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 26% |
| Student > Ph. D. Student | 21 | 23% |
| Student > Bachelor | 10 | 11% |
| Student > Master | 7 | 8% |
| Student > Doctoral Student | 5 | 5% |
| Other | 13 | 14% |
| Unknown | 11 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 58 | 64% |
| Biochemistry, Genetics and Molecular Biology | 14 | 15% |
| Computer Science | 3 | 3% |
| Social Sciences | 2 | 2% |
| Unspecified | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 11 | 12% |
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 07 January 2014.
All research outputs
#15,289,831
of 22,738,543 outputs
Outputs from BMC Bioinformatics
#5,370
of 7,266 outputs
Outputs of similar age
#189,822
of 304,891 outputs
Outputs of similar age from BMC Bioinformatics
#74
of 102 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,266 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 304,891 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.