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Modelling the transmission of healthcare associated infections: a systematic review

Overview of attention for article published in BMC Infectious Diseases, June 2013
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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 (88th percentile)

Mentioned by

policy
1 policy source
twitter
14 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
83 Dimensions

Readers on

mendeley
227 Mendeley
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Title
Modelling the transmission of healthcare associated infections: a systematic review
Published in
BMC Infectious Diseases, June 2013
DOI 10.1186/1471-2334-13-294
Pubmed ID
Authors

Esther van Kleef, Julie V Robotham, Mark Jit, Sarah R Deeny, William J Edmunds

Abstract

Dynamic transmission models are increasingly being used to improve our understanding of the epidemiology of healthcare-associated infections (HCAI). However, there has been no recent comprehensive review of this emerging field. This paper summarises how mathematical models have informed the field of HCAI and how methods have developed over time.

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters 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 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
United Kingdom 6 3%
France 2 <1%
Brazil 1 <1%
India 1 <1%
Australia 1 <1%
Canada 1 <1%
Netherlands 1 <1%
Unknown 208 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 25%
Researcher 41 18%
Student > Master 33 15%
Student > Bachelor 16 7%
Student > Doctoral Student 14 6%
Other 52 23%
Unknown 14 6%
Readers by discipline Count As %
Medicine and Dentistry 58 26%
Agricultural and Biological Sciences 43 19%
Mathematics 21 9%
Biochemistry, Genetics and Molecular Biology 10 4%
Environmental Science 8 4%
Other 51 22%
Unknown 36 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 May 2020.
All research outputs
#1,666,684
of 15,132,433 outputs
Outputs from BMC Infectious Diseases
#524
of 5,564 outputs
Outputs of similar age
#18,652
of 156,742 outputs
Outputs of similar age from BMC Infectious Diseases
#1
of 1 outputs
Altmetric has tracked 15,132,433 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,564 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done particularly well, scoring higher than 90% 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 156,742 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them