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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of novel and candidate miRNAs in rice by high throughput sequencing
|
|---|---|
| Published in |
BMC Plant Biology, January 2008
|
| DOI | 10.1186/1471-2229-8-25 |
| Pubmed ID | |
| Authors |
Ramanjulu Sunkar, Xuefeng Zhou, Yun Zheng, Weixiong Zhang, Jian-Kang Zhu |
| Abstract |
Small RNA-guided gene silencing at the transcriptional and post-transcriptional levels has emerged as an important mode of gene regulation in plants and animals. Thus far, conventional sequencing of small RNA libraries from rice led to the identification of most of the conserved miRNAs. Deep sequencing of small RNA libraries is an effective approach to uncover rare and lineage- and/or species-specific microRNAs (miRNAs) in any organism. |
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 % |
|---|---|---|
| United States | 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 250 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Brazil | 3 | 1% |
| France | 2 | <1% |
| India | 2 | <1% |
| United Kingdom | 2 | <1% |
| China | 2 | <1% |
| Sweden | 1 | <1% |
| Norway | 1 | <1% |
| Italy | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 230 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 78 | 31% |
| Researcher | 55 | 22% |
| Student > Master | 19 | 8% |
| Professor > Associate Professor | 16 | 6% |
| Professor | 13 | 5% |
| Other | 40 | 16% |
| Unknown | 29 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 164 | 66% |
| Biochemistry, Genetics and Molecular Biology | 29 | 12% |
| Computer Science | 12 | 5% |
| Mathematics | 2 | <1% |
| Medicine and Dentistry | 2 | <1% |
| Other | 6 | 2% |
| Unknown | 35 | 14% |
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 20 December 2012.
All research outputs
#18,323,689
of 22,689,790 outputs
Outputs from BMC Plant Biology
#2,068
of 3,211 outputs
Outputs of similar age
#146,563
of 155,889 outputs
Outputs of similar age from BMC Plant Biology
#22
of 23 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,211 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 22nd percentile – i.e., 22% 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 155,889 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.