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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Self-Replicating RNA.
|
|---|---|
| Chapter number | 2 |
| Book title |
RNA Vaccines
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6481-9_2 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6479-6, 978-1-4939-6481-9
|
| Authors |
Birke Andrea Tews, Gregor Meyers, Tews, Birke Andrea, Meyers, Gregor |
| Editors |
Thomas Kramps, Knut Elbers |
| Abstract |
Self-replicating RNA derived from the genomes of positive strand RNA viruses represents a powerful tool for both molecular studies on virus biology and approaches to novel safe and effective vaccines. The following chapter summarizes the principles how such RNAs can be established and used for design of vaccines. Due to the large variety of strategies needed to circumvent specific pitfalls in the design of such constructs the technical details of the experiments are not described here but can be found in the cited literature. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
| Turkey | 2 | 20% |
| South Africa | 1 | 10% |
| Switzerland | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 18% |
| Student > Master | 11 | 14% |
| Student > Ph. D. Student | 7 | 9% |
| Student > Bachelor | 6 | 8% |
| Other | 5 | 7% |
| Other | 5 | 7% |
| Unknown | 28 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 24% |
| Immunology and Microbiology | 6 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 7% |
| Agricultural and Biological Sciences | 5 | 7% |
| Medicine and Dentistry | 4 | 5% |
| Other | 7 | 9% |
| Unknown | 31 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 December 2023.
All research outputs
#1,818,546
of 25,124,631 outputs
Outputs from Methods in molecular biology
#236
of 14,116 outputs
Outputs of similar age
#36,819
of 432,494 outputs
Outputs of similar age from Methods in molecular biology
#37
of 1,085 outputs
Altmetric has tracked 25,124,631 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,116 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 98% 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 432,494 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 91% of its contemporaries.
We're also able to compare this research output to 1,085 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 96% of its contemporaries.