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Framework for optimisation of the clinical use of colistin and polymyxin B: the Prato polymyxin consensus

Overview of attention for article published in Lancet Infectious Diseases, October 2014
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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)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

news
1 news outlet
twitter
14 X users

Citations

dimensions_citation
264 Dimensions

Readers on

mendeley
234 Mendeley
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Title
Framework for optimisation of the clinical use of colistin and polymyxin B: the Prato polymyxin consensus
Published in
Lancet Infectious Diseases, October 2014
DOI 10.1016/s1473-3099(14)70850-3
Pubmed ID
Authors

Roger L Nation, Jian Li, Otto Cars, William Couet, Michael N Dudley, Keith S Kaye, Johan W Mouton, David L Paterson, Vincent H Tam, Ursula Theuretzbacher, Brian T Tsuji, John D Turnidge

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 234 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 1%
United States 2 <1%
Netherlands 1 <1%
Colombia 1 <1%
Argentina 1 <1%
United Kingdom 1 <1%
Unknown 225 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 29 12%
Student > Ph. D. Student 27 12%
Student > Master 27 12%
Researcher 25 11%
Other 15 6%
Other 44 19%
Unknown 67 29%
Readers by discipline Count As %
Medicine and Dentistry 54 23%
Agricultural and Biological Sciences 26 11%
Pharmacology, Toxicology and Pharmaceutical Science 23 10%
Biochemistry, Genetics and Molecular Biology 18 8%
Immunology and Microbiology 14 6%
Other 22 9%
Unknown 77 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 18 February 2015.
All research outputs
#2,138,085
of 25,373,627 outputs
Outputs from Lancet Infectious Diseases
#2,326
of 6,038 outputs
Outputs of similar age
#24,233
of 273,065 outputs
Outputs of similar age from Lancet Infectious Diseases
#34
of 99 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,038 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 92.3. This one has gotten more attention than average, scoring higher than 61% 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 273,065 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 99 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 64% of its contemporaries.