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Mendeley readers
Attention Score in Context
| Title |
Construction and Integration of a Synthetic MicroRNA Cluster for Multiplex RNA Interference in Mammalian Cells
|
|---|---|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7795-6_19 |
| Pubmed ID | |
| Authors |
Wang, Tingting, Xie, Zhen |
| Abstract |
Basic biological research and biomedical applications often require studying the multiple interactions between genes or proteins while multiplex RNA interference (RNAi) technology is still challenging in mammalian cells. In mammalian genomes, the natural microRNA (miRNA) clusters, of which the miRNAs often share similar expression patterns and target diverse genes, would provide a potential multiplex RNAi scaffold. Based on the natural pri-miR-155 precursor, we have developed and characterized a multiplex RNAi method by engineering synthetic miRNA clusters, among which the maturation and function of individual miRNA precursors are independent of their positions in the cluster. And the synthetic miRNA clusters are assembled by an efficient hierarchical Golden-Gate cloning method. Here, we describe the design rules and the hierarchical cloning methods to construct synthetic miRNA cluster, and the brief protocol for the integration of synthetic miRNA clusters into the mammalian genome. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 13% |
| Student > Ph. D. Student | 1 | 13% |
| Student > Bachelor | 1 | 13% |
| Researcher | 1 | 13% |
| Unknown | 4 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 25% |
| Unspecified | 1 | 13% |
| Agricultural and Biological Sciences | 1 | 13% |
| Unknown | 4 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 May 2018.
All research outputs
#13,596,612
of 23,052,509 outputs
Outputs from Methods in molecular biology
#3,662
of 13,196 outputs
Outputs of similar age
#220,164
of 442,457 outputs
Outputs of similar age from Methods in molecular biology
#352
of 1,499 outputs
Altmetric has tracked 23,052,509 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,196 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 70% 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 442,457 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.