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Mendeley readers
Attention Score in Context
Title |
Antibiotic treatment of acute uncomplicated cystitis based on rapid urine test and local epidemiology: lessons from a primary care series
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Published in |
BMC Infectious Diseases, March 2014
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DOI | 10.1186/1471-2334-14-137 |
Pubmed ID | |
Authors |
Manuel Etienne, Emmanuel Lefebvre, Noëlle Frebourg, Hélène Hamel, Martine Pestel-Caron, François Caron, Bacyst Study Group |
Abstract |
Acute uncomplicated cystitis (AUC) is an ideal target of optimization for antibiotic therapy in primary care. Because surveillance networks on urinary tract infections (UTI) mix complicated and uncomplicated UTI, reliable epidemiological data on AUC lack. Whether the antibiotic choice should be guided by a rapid urine test (RUT) for leukocytes and nitrites has not been extensively studied in daily practice. The aim of this primary care study was to investigate local epidemiology and RUT-daily use to determine the optimal strategy. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 119 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 18 | 15% |
Student > Bachelor | 18 | 15% |
Researcher | 17 | 14% |
Other | 8 | 7% |
Student > Doctoral Student | 7 | 6% |
Other | 23 | 19% |
Unknown | 28 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 49 | 41% |
Biochemistry, Genetics and Molecular Biology | 8 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 7 | 6% |
Agricultural and Biological Sciences | 7 | 6% |
Immunology and Microbiology | 6 | 5% |
Other | 11 | 9% |
Unknown | 31 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 11 March 2014.
All research outputs
#14,776,077
of 22,747,498 outputs
Outputs from BMC Infectious Diseases
#4,061
of 7,664 outputs
Outputs of similar age
#125,441
of 220,818 outputs
Outputs of similar age from BMC Infectious Diseases
#80
of 147 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,664 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 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 220,818 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.