| Title |
Systems biology from virus to humans
|
|---|---|
| Published in |
Journal of Analytical Science and Technology , February 2015
|
| DOI | 10.1186/s40543-015-0047-4 |
| Pubmed ID | |
| Authors |
Youri Lee, Yu-Jin Kim, Yu-Jin Jung, Ki-Hye Kim, Young-Man Kwon, Seung Il Kim, Sang-Moo Kang |
| Abstract |
Natural infection and then recovery are considered to be the most effective means for hosts to build protective immunity. Thus, mimicking natural infection of pathogens, many live attenuated vaccines such as influenza virus, and yellow fever vaccine 17D were developed and have been successfully used to induce protective immunity. However, humans fail to generate long-term protective immunity to some pathogens after natural infection such as influenza virus, respiratory syncytial virus (RSV), and human immunodeficiency virus (HIV) even if they survive initial infections. Many vaccines are suboptimal since much mortality is still occurring, which is exampled by influenza and tuberculosis. It is critically important to increase our understanding on protein components of pathogens and vaccines as well as cellular and host responses to infections and vaccinations. Here, we highlight recent advances in gene transcripts and protein analysis results in the systems biology to enhance our understanding of viral pathogens, vaccines, and host cell responses. |
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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 28 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 28% |
| Student > Ph. D. Student | 4 | 14% |
| Researcher | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Professor > Associate Professor | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 8 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 38% |
| Biochemistry, Genetics and Molecular Biology | 4 | 14% |
| Medicine and Dentistry | 3 | 10% |
| Immunology and Microbiology | 2 | 7% |
| Unknown | 9 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 August 2015.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Journal of Analytical Science and Technology
#23
of 82 outputs
Outputs of similar age
#221,838
of 360,639 outputs
Outputs of similar age from Journal of Analytical Science and Technology
#2
of 3 outputs
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So far Altmetric has tracked 82 research outputs from this source. They receive a mean Attention Score of 1.4. This one has gotten more attention than average, scoring higher than 64% of its peers.
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We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.