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Rationale and Prospects of Targeting Bacterial Two-component Systems for Antibacterial Treatment of Cystic Fibrosis Patients.

Overview of attention for article published in Current Drug Targets, February 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 741)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
4 news outlets
twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
5 Mendeley
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Title
Rationale and Prospects of Targeting Bacterial Two-component Systems for Antibacterial Treatment of Cystic Fibrosis Patients.
Published in
Current Drug Targets, February 2016
DOI 10.2174/1389450117666160208145934
Pubmed ID
Authors

Velikova, Nadya, Wellsa, Jerry M, Nadya Velikova, Jerry Wells

Abstract

Bacterial respiratory infections are the main reason of morbidity and mortality among cystic fibrosis (CF) patients. In early childhood, the respiratory infections are due to Staphylococcus aureus and Haemophilus influenzae. In older CF patients, pathogenic Gram-negative bacteria like Achromobacter xylosoxidans, Burkholderia cepacia complex and especially Pseudomonas aeruginosa are more frequently seen. P. aeruginosa is a turning point in the respiratory disease in CF and its predominance increases with age. Bacteria use a variety of two-component systems (TCS) to differentially express virulence factors involved in both acute and chronic infections. Here, we review bacterial TCS as targets for antibacterial treatment for CF patients.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Student > Master 2 40%
Professor > Associate Professor 1 20%
Readers by discipline Count As %
Medicine and Dentistry 2 40%
Immunology and Microbiology 2 40%
Pharmacology, Toxicology and Pharmaceutical Science 1 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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
#347,841
of 11,338,088 outputs
Outputs from Current Drug Targets
#1
of 741 outputs
Outputs of similar age
#16,975
of 346,038 outputs
Outputs of similar age from Current Drug Targets
#1
of 35 outputs
Altmetric has tracked 11,338,088 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 741 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done particularly well, scoring higher than 99% 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 346,038 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 95% of its contemporaries.
We're also able to compare this research output to 35 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 97% of its contemporaries.