| Title |
Proteomics progresses in microbial physiology and clinical antimicrobial therapy
|
|---|---|
| Published in |
European Journal of Clinical Microbiology & Infectious Diseases, November 2016
|
| DOI | 10.1007/s10096-016-2816-4 |
| Pubmed ID | |
| Authors |
B. Chen, D. Zhang, X. Wang, W. Ma, S. Deng, P. Zhang, H. Zhu, N. Xu, S. Liang |
| Abstract |
Clinical microbial identification plays an important role in optimizing the management of infectious diseases and provides diagnostic and therapeutic support for clinical management. Microbial proteomic research is aimed at identifying proteins associated with microbial activity, which has facilitated the discovery of microbial physiology changes and host-pathogen interactions during bacterial infection and antimicrobial therapy. Here, we summarize proteomic-driven progresses of host-microbial pathogen interactions at multiple levels, mass spectrometry-based microbial proteome identification for clinical diagnosis, and antimicrobial therapy. Proteomic technique progresses pave new ways towards effective prevention and drug discovery for microbial-induced infectious diseases. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 15% |
| Student > Bachelor | 7 | 15% |
| Researcher | 6 | 13% |
| Student > Ph. D. Student | 5 | 10% |
| Student > Postgraduate | 4 | 8% |
| Other | 9 | 19% |
| Unknown | 10 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 29% |
| Immunology and Microbiology | 5 | 10% |
| Agricultural and Biological Sciences | 5 | 10% |
| Engineering | 4 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 12 | 25% |
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 23 February 2017.
All research outputs
#18,480,433
of 22,899,952 outputs
Outputs from European Journal of Clinical Microbiology & Infectious Diseases
#2,165
of 2,776 outputs
Outputs of similar age
#235,226
of 311,298 outputs
Outputs of similar age from European Journal of Clinical Microbiology & Infectious Diseases
#36
of 49 outputs
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So far Altmetric has tracked 2,776 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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