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Bacteria Display Differential Growth and Adhesion Characteristics on Human Hair Shafts

Overview of attention for article published in Frontiers in Microbiology, September 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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2 news outlets
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11 X users
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2 patents

Citations

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20 Dimensions

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70 Mendeley
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Title
Bacteria Display Differential Growth and Adhesion Characteristics on Human Hair Shafts
Published in
Frontiers in Microbiology, September 2018
DOI 10.3389/fmicb.2018.02145
Pubmed ID
Authors

Swat Kim Kerk, Hui Ying Lai, Siu Kwan Sze, Kee Woei Ng, Artur Schmidtchen, Sunil S. Adav

Abstract

Apart from the skin surface, hair represents a significant tissue component with a capacity of bacterial interactions. New information can be obtained about hair function through the characterization of bacterial adherence, colonization, and responses to hair shafts per se. In this proof-of-principle study, we examine the growth kinetics of Gram-positive Staphylococcus aureus and Staphylococcus epidermidis, and Gram-negative Pseudomonas aeruginosa and Escherichia coli in the presence of human hair shafts. We explore the ability of these bacteria to adhere to and colonize hair shaft surfaces, as well as the resulting impact on the hair's surface morphology. We show that hair shafts inhibit the growth of Gram-positive S. aureus and S. epidermidis, while the growth kinetics of P. aeruginosa and E. coli remain unaffected. Scanning electron microscope analysis and steeping studies show that P. aeruginosa and E. coli to adhere to and colonize on human hair shafts without significantly affecting the hair shaft's surface morphology. P. aeruginosa produced a substantial amount of biofilm on the hair shaft surfaces, while E. coli specifically inhabited the edges of the cuticle scales. Taken together, our results demonstrate differences in bacterial responses to human hair shafts, which may provide novel insights into hair and scalp health.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 21%
Student > Master 8 11%
Student > Ph. D. Student 7 10%
Researcher 6 9%
Professor > Associate Professor 3 4%
Other 5 7%
Unknown 26 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 14%
Agricultural and Biological Sciences 9 13%
Immunology and Microbiology 5 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Veterinary Science and Veterinary Medicine 3 4%
Other 13 19%
Unknown 27 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 16 July 2024.
All research outputs
#1,468,762
of 26,565,554 outputs
Outputs from Frontiers in Microbiology
#876
of 30,408 outputs
Outputs of similar age
#29,139
of 350,237 outputs
Outputs of similar age from Frontiers in Microbiology
#42
of 687 outputs
Altmetric has tracked 26,565,554 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 30,408 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 particularly well, scoring higher than 97% 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 350,237 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 687 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.