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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of soybean seed developmental stage-specific and tissue-specific miRNA targets by degradome sequencing
|
|---|---|
| Published in |
BMC Genomics, July 2012
|
| DOI | 10.1186/1471-2164-13-310 |
| Pubmed ID | |
| Authors |
Md Shamimuzzaman, Lila Vodkin |
| Abstract |
MicroRNAs (miRNAs) regulate the expression of target genes by mediating gene silencing in both plants and animals. The miRNA targets have been extensively investigated in Arabidopsis and rice using computational prediction, experimental validation by overexpression in transgenic plants, and by degradome or PARE (parallel analysis of RNA ends) sequencing. However, miRNA targets mostly remain unknown in soybean (Glycine max). More specifically miRNA mediated gene regulation at different seed developmental stages in soybean is largely unexplored. In order to dissect miRNA guided gene regulation in soybean developing seeds, we performed a transcriptome-wide experimental method using degradome sequencing to directly detect cleaved miRNA targets. |
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 % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 1% |
| Germany | 1 | 1% |
| Norway | 1 | 1% |
| India | 1 | 1% |
| Canada | 1 | 1% |
| Argentina | 1 | 1% |
| Unknown | 89 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 25% |
| Researcher | 20 | 21% |
| Student > Master | 17 | 18% |
| Professor > Associate Professor | 7 | 7% |
| Professor | 5 | 5% |
| Other | 13 | 14% |
| Unknown | 9 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 63 | 66% |
| Biochemistry, Genetics and Molecular Biology | 15 | 16% |
| Computer Science | 3 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Social Sciences | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 12 | 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 03 October 2012.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from BMC Genomics
#7,120
of 11,244 outputs
Outputs of similar age
#117,529
of 177,877 outputs
Outputs of similar age from BMC Genomics
#99
of 166 outputs
Altmetric has tracked 25,374,647 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 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 27th percentile – i.e., 27% 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 177,877 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 166 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.