↓ Skip to main content

Mathematical modelling for antibiotic resistance control policy: do we know enough?

Overview of attention for article published in BMC Infectious Diseases, November 2019
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

twitter
57 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
144 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
Mathematical modelling for antibiotic resistance control policy: do we know enough?
Published in
BMC Infectious Diseases, November 2019
DOI 10.1186/s12879-019-4630-y
Pubmed ID
Authors

Gwenan M. Knight, Nicholas G. Davies, Caroline Colijn, Francesc Coll, Tjibbe Donker, Danna R. Gifford, Rebecca E. Glover, Mark Jit, Elizabeth Klemm, Sonja Lehtinen, Jodi A. Lindsay, Marc Lipsitch, Martin J. Llewelyn, Ana L. P. Mateus, Julie V. Robotham, Mike Sharland, Dov Stekel, Laith Yakob, Katherine E. Atkins

X Demographics

X Demographics

The data shown below were collected from the profiles of 57 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 144 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 24%
Student > Ph. D. Student 19 13%
Student > Master 15 10%
Other 11 8%
Student > Bachelor 8 6%
Other 22 15%
Unknown 34 24%
Readers by discipline Count As %
Medicine and Dentistry 19 13%
Agricultural and Biological Sciences 13 9%
Biochemistry, Genetics and Molecular Biology 12 8%
Immunology and Microbiology 10 7%
Pharmacology, Toxicology and Pharmaceutical Science 7 5%
Other 40 28%
Unknown 43 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 March 2023.
All research outputs
#1,078,927
of 25,223,158 outputs
Outputs from BMC Infectious Diseases
#252
of 8,502 outputs
Outputs of similar age
#25,724
of 473,407 outputs
Outputs of similar age from BMC Infectious Diseases
#4
of 191 outputs
Altmetric has tracked 25,223,158 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 97% 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 473,407 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 94% of its contemporaries.
We're also able to compare this research output to 191 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 98% of its contemporaries.