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The diagnosis of urinary tract infections in young children (DUTY): protocol for a diagnostic and prospective observational study to derive and validate a clinical algorithm for the diagnosis of UTI…

Overview of attention for article published in BMC Infectious Diseases, July 2012
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Title
The diagnosis of urinary tract infections in young children (DUTY): protocol for a diagnostic and prospective observational study to derive and validate a clinical algorithm for the diagnosis of UTI in children presenting to primary care with an acute illness
Published in
BMC Infectious Diseases, July 2012
DOI 10.1186/1471-2334-12-158
Pubmed ID
Authors

Harriet Downing, Emma Thomas-Jones, Micaela Gal, Cherry-Ann Waldron, Jonathan Sterne, William Hollingworth, Kerenza Hood, Brendan Delaney, Paul Little, Robin Howe, Mandy Wootton, Alastair Macgowan, Christopher C Butler, Alastair D Hay, DUTY study team

Abstract

Urinary tract infection (UTI) is common in children, and may cause serious illness and recurrent symptoms. However, obtaining a urine sample from young children in primary care is challenging and not feasible for large numbers. Evidence regarding the predictive value of symptoms, signs and urinalysis for UTI in young children is urgently needed to help primary care clinicians better identify children who should be investigated for UTI. This paper describes the protocol for the Diagnosis of Urinary Tract infection in Young children (DUTY) study. The overall study aim is to derive and validate a cost-effective clinical algorithm for the diagnosis of UTI in children presenting to primary care acutely unwell.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Colombia 1 <1%
Ireland 1 <1%
Australia 1 <1%
Unknown 146 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 24 16%
Researcher 21 14%
Student > Master 21 14%
Student > Postgraduate 16 11%
Student > Ph. D. Student 11 7%
Other 28 19%
Unknown 29 19%
Readers by discipline Count As %
Medicine and Dentistry 62 41%
Nursing and Health Professions 15 10%
Agricultural and Biological Sciences 10 7%
Biochemistry, Genetics and Molecular Biology 6 4%
Immunology and Microbiology 5 3%
Other 17 11%
Unknown 35 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 July 2012.
All research outputs
#20,161,674
of 22,671,366 outputs
Outputs from BMC Infectious Diseases
#6,423
of 7,641 outputs
Outputs of similar age
#147,043
of 163,942 outputs
Outputs of similar age from BMC Infectious Diseases
#64
of 74 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,641 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.