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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
RNA Interference to Knock Down Gene Expression
|
|---|---|
| Chapter number | 16 |
| Book title |
Disease Gene Identification
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7471-9_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7470-2, 978-1-4939-7471-9
|
| Authors |
Haiyong Han, Han Haiyong, Han, Haiyong |
| Abstract |
RNA interference (RNAi) is a biological process by which double-stranded RNA (dsRNA) induces sequence-specific gene silencing by targeting mRNA for degradation. As a tool for knocking down the expression of individual genes posttranscriptionally, RNAi has been widely used to study the cellular function of genes. In this chapter, I describe procedures for using gene-specific, synthetic, short interfering RNA (siRNA) to induce gene silencing in mammalian cells. Protocols for using lipid-based transfection reagents and electroporation techniques are provided. Potential challenges and problems associated with the siRNA technology are also discussed. |
X Demographics
The data shown below were collected from the profiles of 8 X users 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 | 13% |
| Unknown | 7 | 88% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 444 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 444 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 98 | 22% |
| Student > Master | 52 | 12% |
| Student > Ph. D. Student | 47 | 11% |
| Researcher | 28 | 6% |
| Unspecified | 10 | 2% |
| Other | 27 | 6% |
| Unknown | 182 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 143 | 32% |
| Agricultural and Biological Sciences | 27 | 6% |
| Medicine and Dentistry | 18 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 16 | 4% |
| Immunology and Microbiology | 14 | 3% |
| Other | 40 | 9% |
| Unknown | 186 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 52. 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 May 2024.
All research outputs
#839,941
of 25,864,668 outputs
Outputs from Methods in molecular biology
#55
of 14,392 outputs
Outputs of similar age
#18,920
of 453,245 outputs
Outputs of similar age from Methods in molecular biology
#4
of 1,486 outputs
Altmetric has tracked 25,864,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,392 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 99% of its peers.
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 453,245 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 1,486 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.