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Mass Spectrometry-Based Bacterial Proteomics: Focus on Dermatologic Microbial Pathogens

Overview of attention for article published in Frontiers in Microbiology, February 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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8 X users

Citations

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87 Mendeley
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Title
Mass Spectrometry-Based Bacterial Proteomics: Focus on Dermatologic Microbial Pathogens
Published in
Frontiers in Microbiology, February 2016
DOI 10.3389/fmicb.2016.00181
Pubmed ID
Authors

Youcef Soufi, Boumediene Soufi

Abstract

The composition of human skin acts as a natural habitat for various bacterial species that function in a commensal and symbiotic fashion. In a healthy individual, bacterial flora serves to protect the host. Under certain conditions such as minor trauma, impaired host immunity, or environmental factors, the risk of developing skin infections is increased. Although a large majority of bacterial associated skin infections are common, a portion can potentially manifest into clinically significant morbidity. For example, Gram-positive species that typically reside on the skin such as Staphylococcus and Streptococcus can cause numerous epidermal (impetigo, ecthyma) and dermal (cellulitis, necrotizing fasciitis, erysipelas) skin infections. Moreover, the increasing incidence of bacterial antibiotic resistance represents a serious challenge to modern medicine and threatens the health care system. Therefore, it is critical to develop tools and strategies that can allow us to better elucidate the nature and mechanism of bacterial virulence. To this end, mass spectrometry (MS)-based proteomics has been revolutionizing biomedical research, and has positively impacted the microbiology field. Advances in MS technologies have paved the way for numerous bacterial proteomes and their respective post translational modifications (PTMs) to be accurately identified and quantified in a high throughput and robust fashion. This technological platform offers critical information with regards to signal transduction, adherence, and microbial-host interactions associated with bacterial pathogenesis. This mini-review serves to highlight the current progress proteomics has contributed toward the understanding of bacteria that are associated with skin related diseases, infections, and antibiotic resistance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Brazil 1 1%
Unknown 85 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 18%
Researcher 12 14%
Student > Ph. D. Student 11 13%
Student > Bachelor 8 9%
Student > Doctoral Student 5 6%
Other 16 18%
Unknown 19 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 26%
Chemistry 9 10%
Medicine and Dentistry 9 10%
Biochemistry, Genetics and Molecular Biology 9 10%
Immunology and Microbiology 8 9%
Other 8 9%
Unknown 21 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 09 November 2016.
All research outputs
#6,345,329
of 25,118,194 outputs
Outputs from Frontiers in Microbiology
#5,856
of 28,772 outputs
Outputs of similar age
#80,971
of 303,989 outputs
Outputs of similar age from Frontiers in Microbiology
#154
of 535 outputs
Altmetric has tracked 25,118,194 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 28,772 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 79% 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 303,989 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 535 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.