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Antimicrobial Activity and Resistance: Influencing Factors

Overview of attention for article published in Frontiers in Pharmacology, June 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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1 policy source
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5 X users

Citations

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150 Dimensions

Readers on

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551 Mendeley
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Title
Antimicrobial Activity and Resistance: Influencing Factors
Published in
Frontiers in Pharmacology, June 2017
DOI 10.3389/fphar.2017.00364
Pubmed ID
Authors

Jun Li, Shuyu Xie, Saeed Ahmed, Funan Wang, Yufeng Gu, Chaonan Zhang, Ximan Chai, Yalan Wu, Jinxia Cai, Guyue Cheng

Abstract

Rational use of antibiotic is the key approach to improve the antibiotic performance and tackling of the antimicrobial resistance. The efficacy of antimicrobials are influenced by many factors: (1) bacterial status (susceptibility and resistance, tolerance, persistence, biofilm) and inoculum size; (2) antimicrobial concentrations [mutant selection window (MSW) and sub-inhibitory concentration]; (3) host factors (serum effect and impact on gut micro-biota). Additional understandings regarding the linkage between antimicrobial usages, bacterial status and host response offers us new insights and encourage the struggle for the designing of antimicrobial treatment regimens that reaching better clinical outcome and minimizing the emergence of resistance at the same time.

X Demographics

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 551 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 550 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 94 17%
Student > Ph. D. Student 51 9%
Student > Master 49 9%
Researcher 43 8%
Lecturer 24 4%
Other 85 15%
Unknown 205 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 12%
Biochemistry, Genetics and Molecular Biology 62 11%
Immunology and Microbiology 45 8%
Medicine and Dentistry 41 7%
Pharmacology, Toxicology and Pharmaceutical Science 27 5%
Other 87 16%
Unknown 223 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 28 September 2019.
All research outputs
#7,020,996
of 25,795,662 outputs
Outputs from Frontiers in Pharmacology
#3,043
of 20,015 outputs
Outputs of similar age
#102,706
of 332,818 outputs
Outputs of similar age from Frontiers in Pharmacology
#53
of 254 outputs
Altmetric has tracked 25,795,662 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 20,015 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 84% 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 332,818 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 68% of its contemporaries.
We're also able to compare this research output to 254 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.