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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
DNA Vaccines Against Influenza Viruses
|
|---|---|
| Chapter number | 10 |
| Book title |
Vaccines for Pandemic Influenza
|
| Published in |
Current topics in microbiology and immunology, January 2009
|
| DOI | 10.1007/978-3-540-92165-3_10 |
| Pubmed ID | |
| Book ISBNs |
978-3-54-092164-6, 978-3-54-092165-3
|
| Authors |
Jin Hyang Kim, Joshy Jacob |
| Abstract |
As an attractive alternative to conventional vaccines, DNA vaccines play a critical role in inducing protection against several infectious diseases. In this review, we discuss the advantages that DNA vaccines offer in comparison to conventional protein-based vaccines. We discuss strategies to improve the potency and efficacy of DNA vaccines. Specifically, we focus on the potential use of DNA-based vaccines to elicit broad-spectrum humoral and cellular immunity against influenza virus. Finally, we discuss the advances made in the use of DNA vaccines to prevent avian H5N1 influenza. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Denmark | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Singapore | 1 | 2% |
| Unknown | 41 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 20% |
| Student > Bachelor | 7 | 16% |
| Student > Master | 6 | 13% |
| Student > Ph. D. Student | 6 | 13% |
| Professor | 4 | 9% |
| Other | 4 | 9% |
| Unknown | 9 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 24% |
| Immunology and Microbiology | 6 | 13% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Medicine and Dentistry | 4 | 9% |
| Chemistry | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 12 | 27% |
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 13 March 2013.
All research outputs
#14,747,687
of 22,701,287 outputs
Outputs from Current topics in microbiology and immunology
#417
of 672 outputs
Outputs of similar age
#140,682
of 168,822 outputs
Outputs of similar age from Current topics in microbiology and immunology
#19
of 21 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 33rd percentile – i.e., 33% 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 168,822 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.