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Proteomics analysis of the peritoneal dialysate effluent reveals the presence of calcium-regulation proteins and acute inflammatory response

Overview of attention for article published in Clinical Proteomics, April 2014
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Title
Proteomics analysis of the peritoneal dialysate effluent reveals the presence of calcium-regulation proteins and acute inflammatory response
Published in
Clinical Proteomics, April 2014
DOI 10.1186/1559-0275-11-17
Pubmed ID
Authors

Elisabete Oliveira, José E Araújo, Silvana Gómez-Meire, Carlos Lodeiro, Cristina Perez-Melon, Elena Iglesias-Lamas, Alfonso Otero-Glez, José L Capelo, Hugo M Santos

Abstract

Peritoneal dialysis (PD) is a form of renal replacement used for advanced chronic kidney disease. PD effluent holds a great potential for biomarker discovery for diagnosis and prognosis. In this study a novel approach to unravelling the proteome of PD effluent based-on dithiothreitol depletion followed by 2D-SDS-PAGE and protein identification using tandem mass spectrometry is proposed.

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The data shown below were collected from the profile of 1 X user 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 23%
Student > Bachelor 7 16%
Student > Ph. D. Student 7 16%
Other 3 7%
Student > Master 3 7%
Other 6 14%
Unknown 7 16%
Readers by discipline Count As %
Medicine and Dentistry 9 21%
Chemistry 8 19%
Agricultural and Biological Sciences 5 12%
Biochemistry, Genetics and Molecular Biology 5 12%
Nursing and Health Professions 2 5%
Other 4 9%
Unknown 10 23%
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 17 April 2014.
All research outputs
#20,228,193
of 22,753,345 outputs
Outputs from Clinical Proteomics
#238
of 281 outputs
Outputs of similar age
#192,486
of 226,127 outputs
Outputs of similar age from Clinical Proteomics
#7
of 7 outputs
Altmetric has tracked 22,753,345 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 281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 1st percentile – i.e., 1% 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 226,127 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.