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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development-associated microRNAs in grains of wheat (Triticum aestivumL.)
|
|---|---|
| Published in |
BMC Plant Biology, September 2013
|
| DOI | 10.1186/1471-2229-13-140 |
| Pubmed ID | |
| Authors |
Fanrong Meng, Hao Liu, Ketao Wang, Lulu Liu, Shaohui Wang, Yanhong Zhao, Jun Yin, Yongchun Li |
| Abstract |
MicroRNAs (miRNAs) are a class of regulatory small RNAs (sRNAs) that down-regulate target genes by mRNA degradation or translational repression. Numerous plant miRNAs have been identified. Evidence is increasing for their crucial roles during plant development. In the globally important crop of wheat (Triticum aestivum L.), the process by which grains are formed determines yield and end-use quality. However, little is known about miRNA-mediated developmental regulation of grain production. Here, we applied high-throughput sRNA sequencing and genome-wide mining to identify miRNAs potentially involved in the developmental regulation of wheat grains. |
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 % |
|---|---|---|
| Argentina | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 1% |
| Paraguay | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 94 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 26% |
| Researcher | 20 | 21% |
| Student > Master | 11 | 11% |
| Other | 10 | 10% |
| Student > Bachelor | 5 | 5% |
| Other | 8 | 8% |
| Unknown | 18 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 61 | 63% |
| Biochemistry, Genetics and Molecular Biology | 13 | 13% |
| Environmental Science | 1 | 1% |
| Computer Science | 1 | 1% |
| Psychology | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 20 | 21% |
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 26 September 2013.
All research outputs
#18,348,542
of 22,723,682 outputs
Outputs from BMC Plant Biology
#2,074
of 3,225 outputs
Outputs of similar age
#150,839
of 202,769 outputs
Outputs of similar age from BMC Plant Biology
#13
of 22 outputs
Altmetric has tracked 22,723,682 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 3,225 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 202,769 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.