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A specific immune transcriptomic profile discriminates chronic kidney disease patients in predialysis from hemodialyzed patients

Overview of attention for article published in BMC Medical Genomics, May 2013
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Title
A specific immune transcriptomic profile discriminates chronic kidney disease patients in predialysis from hemodialyzed patients
Published in
BMC Medical Genomics, May 2013
DOI 10.1186/1755-8794-6-17
Pubmed ID
Authors

Gianluigi Zaza, Simona Granata, Federica Rascio, Paola Pontrelli, Maria Pia Dell’Oglio, Sharon Natasha Cox, Giovanni Pertosa, Giuseppe Grandaliano, Antonio Lupo

Abstract

Chronic kidney disease (CKD) patients present a complex interaction between the innate and adaptive immune systems, in which immune activation (hypercytokinemia and acute-phase response) and immune suppression (impairment of response to infections and poor development of adaptive immunity) coexist. In this setting, circulating uremic toxins and microinflammation play a critical role. This condition, already present in the last stages of renal damage, seems to be enhanced by the contact of blood with bioincompatible extracorporeal hemodialysis (HD) devices. However, although largely described, the cellular machinery associated to the CKD- and HD-related immune-dysfunction is still poorly defined. Understanding the mechanisms behind this important complication may generate a perspective for improving patients outcome.

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Student > Bachelor 5 16%
Student > Master 5 16%
Researcher 4 13%
Other 2 6%
Other 4 13%
Unknown 5 16%
Readers by discipline Count As %
Medicine and Dentistry 11 35%
Biochemistry, Genetics and Molecular Biology 5 16%
Agricultural and Biological Sciences 4 13%
Nursing and Health Professions 3 10%
Psychology 2 6%
Other 1 3%
Unknown 5 16%

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 20 December 2013.
All research outputs
#2,899,345
of 3,630,679 outputs
Outputs from BMC Medical Genomics
#185
of 235 outputs
Outputs of similar age
#85,388
of 109,122 outputs
Outputs of similar age from BMC Medical Genomics
#12
of 14 outputs
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So far Altmetric has tracked 235 research outputs from this source. They receive a mean Attention Score of 3.4. 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 14 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.