↓ Skip to main content

Optimising trial designs to identify appropriate antibiotic treatment durations

Overview of attention for article published in BMC Medicine, June 2019
Altmetric Badge

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 (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
33 X users
facebook
1 Facebook page

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
42 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Optimising trial designs to identify appropriate antibiotic treatment durations
Published in
BMC Medicine, June 2019
DOI 10.1186/s12916-019-1348-z
Pubmed ID
Authors

Koen B. Pouwels, Mo Yin, Christopher C. Butler, Ben S. Cooper, Sarah Wordsworth, A. Sarah Walker, Julie V. Robotham

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 17%
Student > Ph. D. Student 6 14%
Student > Bachelor 3 7%
Student > Doctoral Student 3 7%
Student > Master 3 7%
Other 2 5%
Unknown 18 43%
Readers by discipline Count As %
Medicine and Dentistry 8 19%
Pharmacology, Toxicology and Pharmaceutical Science 4 10%
Immunology and Microbiology 4 10%
Environmental Science 2 5%
Veterinary Science and Veterinary Medicine 2 5%
Other 6 14%
Unknown 16 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 24 November 2019.
All research outputs
#1,968,619
of 24,972,357 outputs
Outputs from BMC Medicine
#1,361
of 3,902 outputs
Outputs of similar age
#41,299
of 358,361 outputs
Outputs of similar age from BMC Medicine
#30
of 64 outputs
Altmetric has tracked 24,972,357 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,902 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.2. This one has gotten more attention than average, scoring higher than 65% 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 358,361 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 88% of its contemporaries.
We're also able to compare this research output to 64 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 54% of its contemporaries.