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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Isolation and Detection of Small RNAs from Plant Tissues.
|
|---|---|
| Chapter number | 11 |
| Book title |
Antiviral Resistance in Plants
|
| Published in |
Methods in molecular biology, June 2012
|
| DOI | 10.1007/978-1-61779-882-5_11 |
| Pubmed ID | |
| Book ISBNs |
978-1-61779-881-8, 978-1-61779-882-5
|
| Authors |
Smith NA, Eamens AL, Neil A. Smith, Andrew L. Eamens, Smith, Neil A., Eamens, Andrew L. |
| Abstract |
In plants, several classes of non-coding small RNA (sRNA) have been shown to be important regulators of gene expression in a wide variety of biological processes. The two main classes of sRNA, the small-interfering RNA (siRNA) and microRNA (miRNA) classes, are well documented and several experimental approaches have been developed to allow for their routine isolation and detection from plant tissues. Here, we describe the current methods used for the isolation of total RNA and the subsequent enrichment of low-molecular-weight (LMW) RNA species, as well as to outline how sRNAs are detected from such nucleic acid preparations. |
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 % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 7% |
| Australia | 1 | 7% |
| Unknown | 13 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 27% |
| Student > Ph. D. Student | 3 | 20% |
| Student > Master | 3 | 20% |
| Other | 1 | 7% |
| Professor | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 73% |
| Biochemistry, Genetics and Molecular Biology | 3 | 20% |
| Unknown | 1 | 7% |
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 08 February 2023.
All research outputs
#19,019,142
of 24,221,802 outputs
Outputs from Methods in molecular biology
#7,754
of 13,616 outputs
Outputs of similar age
#127,462
of 169,833 outputs
Outputs of similar age from Methods in molecular biology
#35
of 49 outputs
Altmetric has tracked 24,221,802 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,616 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 38th percentile – i.e., 38% 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 169,833 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.