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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 21 | 37% |
United States | 4 | 7% |
Germany | 2 | 4% |
Switzerland | 2 | 4% |
France | 2 | 4% |
South Africa | 1 | 2% |
Belgium | 1 | 2% |
Australia | 1 | 2% |
Canada | 1 | 2% |
Other | 9 | 16% |
Unknown | 13 | 23% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 25 | 44% |
Members of the public | 24 | 42% |
Practitioners (doctors, other healthcare professionals) | 7 | 12% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 145 | 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 | 23 | 16% |
Unknown | 34 | 23% |
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 | 41 | 28% |
Unknown | 43 | 30% |
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.