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Graph Based Study of Allergen Cross-Reactivity of Plant Lipid Transfer Proteins (LTPs) Using Microarray in a Multicenter Study

Overview of attention for article published in PLOS ONE, December 2012
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Title
Graph Based Study of Allergen Cross-Reactivity of Plant Lipid Transfer Proteins (LTPs) Using Microarray in a Multicenter Study
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0050799
Pubmed ID
Authors

Arantxa Palacín, Cristina Gómez-Casado, Luis A. Rivas, Jacobo Aguirre, Leticia Tordesillas, Joan Bartra, Carlos Blanco, Teresa Carrillo, Javier Cuesta-Herranz, Consolación de Frutos, Genoveva García Álvarez-Eire, Francisco J. Fernández, Pedro Gamboa, Rosa Muñoz, Rosa Sánchez-Monge, Sofía Sirvent, María J. Torres, Susana Varela-Losada, Rosalía Rodríguez, Victor Parro, Miguel Blanca, Gabriel Salcedo, Araceli Díaz-Perales

Abstract

The study of cross-reactivity in allergy is key to both understanding. the allergic response of many patients and providing them with a rational treatment In the present study, protein microarrays and a co-sensitization graph approach were used in conjunction with an allergen microarray immunoassay. This enabled us to include a wide number of proteins and a large number of patients, and to study sensitization profiles among members of the LTP family. Fourteen LTPs from the most frequent plant food-induced allergies in the geographical area studied were printed into a microarray specifically designed for this research. 212 patients with fruit allergy and 117 food-tolerant pollen allergic subjects were recruited from seven regions of Spain with different pollen profiles, and their sera were tested with allergen microarray. This approach has proven itself to be a good tool to study cross-reactivity between members of LTP family, and could become a useful strategy to analyze other families of allergens.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 1%
Mexico 1 1%
France 1 1%
Unknown 70 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 29%
Student > Ph. D. Student 9 12%
Other 5 7%
Student > Bachelor 4 5%
Student > Doctoral Student 3 4%
Other 10 14%
Unknown 21 29%
Readers by discipline Count As %
Medicine and Dentistry 19 26%
Agricultural and Biological Sciences 13 18%
Immunology and Microbiology 11 15%
Biochemistry, Genetics and Molecular Biology 7 10%
Computer Science 1 1%
Other 2 3%
Unknown 20 27%
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 15 December 2012.
All research outputs
#20,176,348
of 22,689,790 outputs
Outputs from PLOS ONE
#172,810
of 193,655 outputs
Outputs of similar age
#247,347
of 278,890 outputs
Outputs of similar age from PLOS ONE
#4,004
of 4,825 outputs
Altmetric has tracked 22,689,790 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 193,655 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 4,825 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.