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Mendeley readers
Attention Score in Context
| Chapter title |
Preparation and Optimization of Lipid-Like Nanoparticles for mRNA Delivery
|
|---|---|
| Chapter number | 13 |
| Book title |
RNA Nanostructures
|
| Published in |
Methods in molecular biology, July 2017
|
| DOI | 10.1007/978-1-4939-7138-1_13 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7137-4, 978-1-4939-7138-1
|
| Authors |
Bin Li, Yizhou Dong, Li, Bin, Dong, Yizhou |
| Abstract |
Lipid-like nanoparticles (LLNs) have shown great promise for nucleic acid delivery. Recently, we have developed N (1),N (3),N (5)-tris(2-aminoethyl)benzene-1,3,5-tricarboxamide (TT) derived lipid-like compounds, formulated them into TT LLNs for mRNA delivery, and applied an orthogonal array design to facilitate formulation optimization. This chapter focuses on the following contents relevant to lipid-like nanoparticles: formulation method, particle characterization, orthogonal array design, and in vitro assays. |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 25% |
| Student > Bachelor | 4 | 14% |
| Student > Ph. D. Student | 4 | 14% |
| Other | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 21% |
| Chemistry | 3 | 11% |
| Engineering | 3 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
| Immunology and Microbiology | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 10 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 11 August 2022.
All research outputs
#7,561,005
of 23,063,209 outputs
Outputs from Methods in molecular biology
#2,348
of 13,198 outputs
Outputs of similar age
#120,175
of 314,677 outputs
Outputs of similar age from Methods in molecular biology
#33
of 270 outputs
Altmetric has tracked 23,063,209 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,198 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% 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 314,677 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 270 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.