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Mendeley readers
Attention Score in Context
| Title |
Deep sequencing on genome-wide scale reveals the unique composition and expression patterns of microRNAs in developing pollen of Oryza sativa
|
|---|---|
| Published in |
Genome Biology, June 2011
|
| DOI | 10.1186/gb-2011-12-6-r53 |
| Pubmed ID | |
| Authors |
Li Qin Wei, Long Feng Yan, Tai Wang |
| Abstract |
Pollen development in flowering plants requires strict control of the gene expression program and genetic information stability by mechanisms possibly including the miRNA pathway. However, our understanding of the miRNA pathway in pollen development remains limited, and the dynamic profile of miRNAs in developing pollen is unknown. |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 4 | 3% |
| Argentina | 2 | 2% |
| Portugal | 1 | <1% |
| Norway | 1 | <1% |
| Colombia | 1 | <1% |
| Japan | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 116 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 26% |
| Student > Ph. D. Student | 29 | 23% |
| Student > Master | 19 | 15% |
| Professor | 9 | 7% |
| Professor > Associate Professor | 8 | 6% |
| Other | 18 | 14% |
| Unknown | 11 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 88 | 69% |
| Biochemistry, Genetics and Molecular Biology | 15 | 12% |
| Medicine and Dentistry | 3 | 2% |
| Psychology | 2 | 2% |
| Computer Science | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 15 | 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 13 January 2012.
All research outputs
#17,285,036
of 25,373,627 outputs
Outputs from Genome Biology
#4,093
of 4,467 outputs
Outputs of similar age
#86,738
of 117,148 outputs
Outputs of similar age from Genome Biology
#35
of 37 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 5th percentile – i.e., 5% 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 117,148 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.