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Dermatoglyphics in kidney diseases: a review

Overview of attention for article published in SpringerPlus, March 2016
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1 tweeter

Citations

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Readers on

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33 Mendeley
Title
Dermatoglyphics in kidney diseases: a review
Published in
SpringerPlus, March 2016
DOI 10.1186/s40064-016-1783-7
Pubmed ID
Authors

Buddhika T. B. Wijerathne, Robert J. Meier, Sujatha S. Salgado, Suneth B. Agampodi

Abstract

Kidney diseases are becoming a major cause of global burden with high mortality and morbidity. The origins of most kidney diseases are known, but for some the exact aetiology is not yet understood. Dermatoglyphics is the scientific study of epidermal ridge patterns and it has been used as a non-invasive diagnostic tool to detect or predict different medical conditions that have foetal origin. However, there have been a limited number of studies that have evaluated a dermatoglyphic relationship in different kidney diseases. The aim of this review was to systematically identify, review and appraise available literature that evaluated an association of different dermatoglyphic variables with kidney diseases. This review is reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist. The PubMed(®) (Medline), POPLINE, Cochrane Library and Trip Database and grey literature sources such as OpenGrey, Google Scholar, and Google were searched to earliest date to 17 April 2014. Of the 36 relevant publications, 15 were included in the review. Of these studies, there are five case reports, seven case series and three comparative studies. Possible association of dermatoglyphics with Wilms tumor (WT) had been evaluated in two comparative studies and one case series that found fewer whorls and a lower mean total ridge count (TRC). Another study evaluated adult polycystic kidney disease (APCD) type III that revealed lower TRC means in all cases. All other case series and case reports describe dermatoglyphics in various kidney disease such as acro-renal-ocular syndrome, potter syndrome, kabuki makeup syndrome, neurofaciodigitorenal syndrome, syndactyly type V, ring chromosome 13 syndrome, trisomy 13 syndrome and sirenomelia. It is evident that whorl pattern frequency and TRC have been used widely to investigate the uncertainty related to the origin of several kidney diseases such as WT and APCD type III. However, small sample sizes, possibly methodological issues, and discrepancy in the make up between cases and control groups limits interpretation of any significant findings. Future studies with proper protocol, adequate cases, and control groups may provide stronger evidence to resolve uncertainty related to the aetiology of kidney diseases.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sri Lanka 1 3%
Korea, Republic of 1 3%
Unknown 31 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 21%
Researcher 6 18%
Student > Doctoral Student 3 9%
Professor 3 9%
Student > Master 3 9%
Other 6 18%
Unknown 5 15%
Readers by discipline Count As %
Medicine and Dentistry 12 36%
Biochemistry, Genetics and Molecular Biology 3 9%
Nursing and Health Professions 3 9%
Agricultural and Biological Sciences 1 3%
Computer Science 1 3%
Other 6 18%
Unknown 7 21%

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 09 March 2016.
All research outputs
#15,362,987
of 22,854,458 outputs
Outputs from SpringerPlus
#932
of 1,849 outputs
Outputs of similar age
#178,034
of 299,380 outputs
Outputs of similar age from SpringerPlus
#80
of 158 outputs
Altmetric has tracked 22,854,458 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,849 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 35th percentile – i.e., 35% 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 299,380 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.