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Early diagnosis of dengue disease severity in a resource-limited Asian country

Overview of attention for article published in BMC Infectious Diseases, September 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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7 X users
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Citations

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Title
Early diagnosis of dengue disease severity in a resource-limited Asian country
Published in
BMC Infectious Diseases, September 2016
DOI 10.1186/s12879-016-1849-8
Pubmed ID
Authors

Philippe Cavailler, Arnaud Tarantola, Yee Sin Leo, Andrew A. Lover, Anne Rachline, Moniboth Duch, Rekol Huy, Ai Li Quake, Yuvatha Kdan, Veasna Duong, Jeremy L. Brett, Philippe Buchy

Abstract

Dengue is endemic throughout Cambodia, a country faced with significant health and economic challenges. We undertook a clinical study at the National Paediatric Hospital in Phnom Penh to evaluate clinical diagnostic parameters for dengue and predictors of disease outcome. Between September 2011 and January 2013, all consecutive inpatients aged between 1 and 15 years and presenting with suspected dengue were enrolled. They were clinically assessed using both the 1997 and 2009 WHO dengue classifications. Specimens were collected upon admission and discharge and tested for dengue at Institut Pasteur in Cambodia. A total of 701 patients were screened. Of these, 79 % were dengue-confirmed by laboratory testing, and 21 % tested dengue-negative. A positive tourniquet test, absence of upper respiratory symptoms, leukopenia, thrombocytopenia, and elevated liver transaminases were independent predictors for laboratory-confirmed dengue among the children. The presence of several warning signs on hospital admission was associated with a concurrent laboratory-confirmed diagnosis of severe disease outcome. The presence of two or more warning signs was associated with a concurrent laboratory-confirmed diagnosis of severe dengue at hospital admission. Thus, a cumulative score combining simple clinical parameters and first-line laboratory findings could be used to accurately predict dengue virus infection in pediatric populations, optimizing triage in settings with limited laboratory resources.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Unknown 92 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 20%
Researcher 17 18%
Other 11 12%
Student > Ph. D. Student 9 10%
Student > Postgraduate 8 9%
Other 13 14%
Unknown 17 18%
Readers by discipline Count As %
Medicine and Dentistry 37 39%
Agricultural and Biological Sciences 8 9%
Immunology and Microbiology 8 9%
Nursing and Health Professions 6 6%
Biochemistry, Genetics and Molecular Biology 5 5%
Other 11 12%
Unknown 19 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 November 2016.
All research outputs
#6,760,894
of 22,889,074 outputs
Outputs from BMC Infectious Diseases
#2,110
of 7,691 outputs
Outputs of similar age
#102,902
of 322,700 outputs
Outputs of similar age from BMC Infectious Diseases
#60
of 221 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,691 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 72% 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 322,700 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 221 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.