| Title |
Metaproteomic strategies and applications for gut microbial research
|
|---|---|
| Published in |
Applied Microbiology and Biotechnology, March 2017
|
| DOI | 10.1007/s00253-017-8215-7 |
| Pubmed ID | |
| Authors |
Mingming Xiao, Junjun Yang, Yuxin Feng, Yan Zhu, Xin Chai, Yuefei Wang |
| Abstract |
The human intestine hosts various complex microbial communities that are closely associated with multiple health and disease processes. Determining the composition and function of these microbial communities is critical to unveil disease mechanisms and promote human health. Recently, meta-omic strategies have been developed that use high-throughput techniques to provide a wealth of information, thus accelerating the study of gut microbes. Metaproteomics is a newly emerged analytical approach that aims to identify proteins on a large scale in complex environmental microbial communities (e.g., the gut microbiota). This review introduces the recent analytical strategies and applications of metaproteomics, with a focus on advances in gut microbiota research, including a discussion of the limitations and challenges of these approaches. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 18% |
| Student > Ph. D. Student | 12 | 17% |
| Student > Bachelor | 8 | 11% |
| Student > Master | 7 | 10% |
| Student > Doctoral Student | 4 | 6% |
| Other | 16 | 22% |
| Unknown | 12 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 33% |
| Agricultural and Biological Sciences | 16 | 22% |
| Immunology and Microbiology | 4 | 6% |
| Environmental Science | 3 | 4% |
| Medicine and Dentistry | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 16 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 26 April 2017.
All research outputs
#3,895,988
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#934
of 8,034 outputs
Outputs of similar age
#66,871
of 311,526 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#7
of 107 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,034 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 88% of its peers.
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We're also able to compare this research output to 107 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 93% of its contemporaries.