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How long is enough? Identification of product dry-time as a primary driver of alcohol-based hand rub efficacy

Overview of attention for article published in Antimicrobial Resistance & Infection Control, May 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 (82nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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1 news outlet
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5 X users
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1 Facebook page

Citations

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20 Dimensions

Readers on

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21 Mendeley
Title
How long is enough? Identification of product dry-time as a primary driver of alcohol-based hand rub efficacy
Published in
Antimicrobial Resistance & Infection Control, May 2018
DOI 10.1186/s13756-018-0357-6
Pubmed ID
Authors

Miranda Suchomel, Rachel A. Leslie, Albert E. Parker, David R. Macinga

Abstract

The World Health Organization has called for the development of improved methodologies to evaluate alcohol-based handrub (ABHR) efficacy, including evaluation at "short application times and volumes that reflect actual use in healthcare facilities". The objective of this study was to investigate variables influencing ABHR efficacy, under test conditions reflective of clinical use. The test product (60% V/V 2-propanol) was evaluated according to a modified EN 1500 methodology, where application volumes of 1 mL, 2 mL, and 3 mL were rubbed until dry. Statistical analyses were performed to investigate the relative influences of product volume, hand size, and product dry-time on efficacy, and hand size and hand contamination on product dry-time. Mean log10 reduction factors (SD) were 1.99 (0.66), 2.96 (0.84) and 3.28 (0.96); and mean dry-times (SD) were 24 s (7 s), 50 s (14 s), and 67 s (20 s) at application volumes of 1 mL, 2 mL, and 3 mL, respectively (p ≤ 0.030). When data were examined at the individual volunteer level, there was a statistically significant correlation between dry-time and log reduction factor (p < 0.0001), independent of application volume. There was also a statistically significant correlation between hand surface area and dry-times (p = 0.047), but no correlation between hand surface area and efficacy (p = 0.698). When keeping other variables such as alcohol type and concentration constant, product dry-time appears to be the primary driver of ABHR efficacy suggesting that dosing should be customized to each individual and focus on achieving a product dry-time delivering adequate efficacy.

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X Demographics

The data shown below were collected from the profiles of 5 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 14%
Student > Doctoral Student 2 10%
Student > Postgraduate 2 10%
Student > Bachelor 2 10%
Unspecified 1 5%
Other 2 10%
Unknown 9 43%
Readers by discipline Count As %
Medicine and Dentistry 4 19%
Unspecified 1 5%
Environmental Science 1 5%
Veterinary Science and Veterinary Medicine 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 3 14%
Unknown 10 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 31 July 2019.
All research outputs
#2,804,976
of 24,003,070 outputs
Outputs from Antimicrobial Resistance & Infection Control
#363
of 1,347 outputs
Outputs of similar age
#57,476
of 331,519 outputs
Outputs of similar age from Antimicrobial Resistance & Infection Control
#13
of 33 outputs
Altmetric has tracked 24,003,070 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,347 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has gotten more attention than average, scoring higher than 72% 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 331,519 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 33 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 57% of its contemporaries.