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Meta-analysis of molecular response of kidney to ischemia reperfusion injury for the identification of new candidate genes

Overview of attention for article published in BMC Nephrology, October 2013
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1 X user

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Title
Meta-analysis of molecular response of kidney to ischemia reperfusion injury for the identification of new candidate genes
Published in
BMC Nephrology, October 2013
DOI 10.1186/1471-2369-14-231
Pubmed ID
Authors

Dmitry N Grigoryev, Dilyara I Cheranova, Daniel P Heruth, Peixin Huang, Li Q Zhang, Hamid Rabb, Shui Q Ye

Abstract

Accumulated to-date microarray data on ischemia reperfusion injury (IRI) of kidney represent a powerful source for identifying new targets and mechanisms of kidney IRI. In this study, we conducted a meta-analysis of gene expression profiles of kidney IRI in human, pig, rat, and mouse models, using a new scoring method to correct for the bias of overrepresented species. The gene expression profiles were obtained from the public repositories for 24 different models. After filtering against inclusion criteria 21 experimental settings were selected for meta-analysis and were represented by 11 rat models, 6 mouse models, and 2 models each for pig and human, with a total of 150 samples. Meta-analysis was conducted using expression-based genome-wide association study (eGWAS). The eGWAS results were corrected for a rodent species bias using a new weighted scoring algorithm, which favors genes with unidirectional change in expression in all tested species.

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X Demographics

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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Student > Ph. D. Student 4 15%
Professor > Associate Professor 3 12%
Other 3 12%
Student > Doctoral Student 2 8%
Other 5 19%
Unknown 4 15%
Readers by discipline Count As %
Medicine and Dentistry 12 46%
Agricultural and Biological Sciences 5 19%
Computer Science 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 5 19%
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 24 October 2013.
All research outputs
#18,351,676
of 22,727,570 outputs
Outputs from BMC Nephrology
#1,865
of 2,460 outputs
Outputs of similar age
#157,881
of 211,997 outputs
Outputs of similar age from BMC Nephrology
#61
of 82 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,460 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 11th percentile – i.e., 11% 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 211,997 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 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.