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Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial…

Overview of attention for article published in Malaria Journal, May 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
144 Mendeley
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Title
Towards a precise test for malaria diagnosis in the Brazilian Amazon: comparison among field microscopy, a rapid diagnostic test, nested PCR, and a computational expert system based on artificial neural networks
Published in
Malaria Journal, May 2010
DOI 10.1186/1475-2875-9-117
Pubmed ID
Authors

Bruno B Andrade, Antonio Reis-Filho, Austeclino M Barros, Sebastião M Souza-Neto, Lucas L Nogueira, Kiyoshi F Fukutani, Erney P Camargo, Luís MA Camargo, Aldina Barral, Ângelo Duarte, Manoel Barral-Netto

Abstract

Accurate malaria diagnosis is mandatory for the treatment and management of severe cases. Moreover, individuals with asymptomatic malaria are not usually screened by health care facilities, which further complicates disease control efforts. The present study compared the performances of a malaria rapid diagnosis test (RDT), the thick blood smear method and nested PCR for the diagnosis of symptomatic malaria in the Brazilian Amazon. In addition, an innovative computational approach was tested for the diagnosis of asymptomatic malaria.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 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%
Colombia 1 <1%
Belgium 1 <1%
Nigeria 1 <1%
Unknown 136 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 22%
Student > Ph. D. Student 20 14%
Student > Master 14 10%
Student > Bachelor 11 8%
Student > Postgraduate 9 6%
Other 32 22%
Unknown 27 19%
Readers by discipline Count As %
Medicine and Dentistry 49 34%
Agricultural and Biological Sciences 25 17%
Computer Science 15 10%
Biochemistry, Genetics and Molecular Biology 4 3%
Immunology and Microbiology 4 3%
Other 16 11%
Unknown 31 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 June 2012.
All research outputs
#5,706,290
of 22,668,244 outputs
Outputs from Malaria Journal
#1,508
of 5,540 outputs
Outputs of similar age
#27,581
of 94,996 outputs
Outputs of similar age from Malaria Journal
#10
of 49 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 5,540 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. 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 94,996 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 70% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.