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Clinical and Genetic Advances in Paget’s Disease of Bone: a Review

Overview of attention for article published in Clinical & Translational Metabolism, December 2016
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  • Good Attention Score compared to outputs of the same age (71st percentile)

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3 X users
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1 Wikipedia page

Citations

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38 Dimensions

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54 Mendeley
Title
Clinical and Genetic Advances in Paget’s Disease of Bone: a Review
Published in
Clinical & Translational Metabolism, December 2016
DOI 10.1007/s12018-016-9226-0
Pubmed ID
Authors

N. Alonso, I. Calero-Paniagua, J. del Pino-Montes

Abstract

Paget's disease of bone (PDB) is the second most common metabolic bone disorder, after osteoporosis. It is characterised by focal areas of increased and disorganised bone turnover, coupled with increased bone formation. This disease usually appears in the late stages of life, being slightly more frequent in men than in women. It has been reported worldwide, but primarily affects individuals of British descent. Majority of PDB patients are asymptomatic, but clinical manifestations include pain, bone deformity and complications, like pathological fractures and deafness. The causes of the disease are poorly understood and it is considered as a complex trait, combining genetic predisposition with environmental factors. Linkage analysis identified SQSTM1, at chromosome 5q35, as directly related to the disease. A number of mutations in this gene have been reported, pP392L being the most common variant among different populations. Most of these variants affect the ubiquitin-associated (UBA) domain of the protein, which is involved in autophagy processes. Genome-wide association studies enlarged the number of loci associated with PDB, and further fine-mapping studies, combined with functional analysis, identified OPTN and RIN3 as causal genes for Paget's disease. A combination of risk alleles identified by genome-wide association studies led to the development of a score to predict disease severity, which could improve the management of the disease. Further studies need to be conducted to elucidate other important aspects of the trait, such as its focal nature and the epidemiological changes found in some populations. In this review, we summarize the clinical characteristics of the disease and the latest genetic advances to identify susceptibility genes. We also list current available treatments and prospective options.

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

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 13%
Student > Bachelor 7 13%
Researcher 7 13%
Student > Ph. D. Student 5 9%
Other 3 6%
Other 7 13%
Unknown 18 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 24%
Medicine and Dentistry 12 22%
Nursing and Health Professions 2 4%
Agricultural and Biological Sciences 2 4%
Immunology and Microbiology 1 2%
Other 3 6%
Unknown 21 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 October 2017.
All research outputs
#7,027,634
of 25,457,858 outputs
Outputs from Clinical & Translational Metabolism
#1
of 1 outputs
Outputs of similar age
#118,789
of 423,012 outputs
Outputs of similar age from Clinical & Translational Metabolism
#1
of 1 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 of them.
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 423,012 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them