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A protocol for the identification and validation of novel genetic causes of kidney disease

Overview of attention for article published in BMC Nephrology, September 2015
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3 X users

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8 Dimensions

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29 Mendeley
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Title
A protocol for the identification and validation of novel genetic causes of kidney disease
Published in
BMC Nephrology, September 2015
DOI 10.1186/s12882-015-0148-8
Pubmed ID
Authors

Andrew Mallett, Chirag Patel, Barbara Maier, Julie McGaughran, Michael Gabbett, Minoru Takasato, Anne Cameron, Peter Trnka, Stephen I. Alexander, Gopala Rangan, Michel C. Tchan, Georgina Caruana, George John, Cathy Quinlan, Hugh J. McCarthy, Valentine Hyland, Wendy E. Hoy, Ernst Wolvetang, Ryan Taft, Cas Simons, Helen Healy, Melissa Little

Abstract

Genetic renal diseases (GRD) are a heterogeneous and incompletely understood group of disorders accounting for approximately 10 % of those diagnosed with kidney disease. The advent of Next Generation sequencing and new approaches to disease modelling may allow the identification and validation of novel genetic variants in patients with previously incompletely explained or understood GRD. This study will recruit participants in families/trios from a multidisciplinary sub-specialty Renal Genetics Clinic where known genetic causes of GRD have been excluded or where genetic testing is not available. After informed patient consent, whole exome and/or genome sequencing will be performed with bioinformatics analysis undertaken using a customised variant assessment tool. A rigorous process for participant data management will be undertaken. Novel genetic findings will be validated using patient-derived induced pluripotent stem cells via differentiation to renal and relevant extra-renal tissue phenotypes in vitro. A process for managing the risk of incidental findings and the return of study results to participants has been developed. This investigator-initiated approach brings together experts in nephrology, clinical and molecular genetics, pathology and developmental biology to discover and validate novel genetic causes for patients in Australia affected by GRD without a known genetic aetiology or pathobiology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 1 3%
Australia 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 28%
Student > Bachelor 6 21%
Student > Master 5 17%
Student > Ph. D. Student 3 10%
Professor > Associate Professor 2 7%
Other 3 10%
Unknown 2 7%
Readers by discipline Count As %
Medicine and Dentistry 10 34%
Biochemistry, Genetics and Molecular Biology 6 21%
Agricultural and Biological Sciences 5 17%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Immunology and Microbiology 1 3%
Other 2 7%
Unknown 3 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 June 2018.
All research outputs
#14,081,679
of 23,340,595 outputs
Outputs from BMC Nephrology
#1,156
of 2,522 outputs
Outputs of similar age
#133,155
of 269,972 outputs
Outputs of similar age from BMC Nephrology
#19
of 36 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,522 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 53% of its peers.
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 269,972 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.