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Clinical and laboratory features that discriminate dengue from other febrile illnesses: a diagnostic accuracy study in Rio de Janeiro, Brazil

Overview of attention for article published in BMC Infectious Diseases, February 2013
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1 X user

Citations

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Title
Clinical and laboratory features that discriminate dengue from other febrile illnesses: a diagnostic accuracy study in Rio de Janeiro, Brazil
Published in
BMC Infectious Diseases, February 2013
DOI 10.1186/1471-2334-13-77
Pubmed ID
Authors

Regina P Daumas, Sonia RL Passos, Raquel VC Oliveira, Rita MR Nogueira, Ingebourg Georg, Keyla BF Marzochi, Patrícia Brasil

Abstract

Dengue is an acute febrile illness caused by an arbovirus that is endemic in more than 100 countries. Early diagnosis and adequate management are critical to reduce mortality. This study aims to identify clinical and hematological features that could be useful to discriminate dengue from other febrile illnesses (OFI) up to the third day of disease.

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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 2%
United Kingdom 2 1%
Vietnam 1 <1%
United States 1 <1%
Unknown 148 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 22%
Student > Master 25 16%
Student > Bachelor 17 11%
Student > Postgraduate 14 9%
Student > Ph. D. Student 10 6%
Other 28 18%
Unknown 27 17%
Readers by discipline Count As %
Medicine and Dentistry 46 30%
Agricultural and Biological Sciences 23 15%
Biochemistry, Genetics and Molecular Biology 8 5%
Social Sciences 6 4%
Nursing and Health Professions 5 3%
Other 30 19%
Unknown 37 24%
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 08 February 2013.
All research outputs
#20,182,546
of 22,696,971 outputs
Outputs from BMC Infectious Diseases
#6,427
of 7,644 outputs
Outputs of similar age
#250,600
of 284,066 outputs
Outputs of similar age from BMC Infectious Diseases
#139
of 160 outputs
Altmetric has tracked 22,696,971 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 7,644 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.
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 284,066 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 160 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.