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A novel polyclonal antibody-based sandwich ELISA for detection of Plasmodium vivaxdeveloped from two lactate dehydrogenase protein segments

Overview of attention for article published in BMC Infectious Diseases, January 2014
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Mentioned by

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1 tweeter

Citations

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6 Dimensions

Readers on

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48 Mendeley
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Title
A novel polyclonal antibody-based sandwich ELISA for detection of Plasmodium vivaxdeveloped from two lactate dehydrogenase protein segments
Published in
BMC Infectious Diseases, January 2014
DOI 10.1186/1471-2334-14-49
Pubmed ID
Authors

Luciana Pereira Sousa, Luis André Morais Mariuba, Rudson Jesus Holanda, João Paulo Pimentel, Maria Edilene Martins Almeida, Yury Oliveira Chaves, Davi Borges, Emerson Lima, James Lee Crainey, Patricia Puccinelli Orlandi, Marcus Vinicius Lacerda, Paulo Afonso Nogueira

Abstract

Immunoassays for Plasmodium detection are, presently, most frequently based on monoclonal antibodies (MAbs); Polyclonal antibodies (PAbs), which are cheaper to develop and manufacture, are much less frequently used. In the present study we describe a sandwich ELISA assay which is capable of detecting P. vivax Lactate Dehydrogenase (LDH) in clinical blood samples, without cross reacting with those infected with P. falciparum.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Brazil 1 2%
Unknown 46 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 21%
Student > Ph. D. Student 10 21%
Researcher 9 19%
Student > Doctoral Student 5 10%
Student > Bachelor 4 8%
Other 6 13%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 21%
Medicine and Dentistry 10 21%
Biochemistry, Genetics and Molecular Biology 4 8%
Chemistry 4 8%
Materials Science 2 4%
Other 10 21%
Unknown 8 17%

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 05 February 2014.
All research outputs
#2,015,247
of 3,631,865 outputs
Outputs from BMC Infectious Diseases
#1,180
of 2,164 outputs
Outputs of similar age
#55,470
of 110,522 outputs
Outputs of similar age from BMC Infectious Diseases
#115
of 141 outputs
Altmetric has tracked 3,631,865 research outputs across all sources so far. This one is in the 26th percentile – i.e., 26% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,164 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 37th percentile – i.e., 37% 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 110,522 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.