| Title |
The epidemiology of premature aging and associated comorbidities
|
|---|---|
| Published in |
Clinical Interventions in Aging, August 2013
|
| DOI | 10.2147/cia.s37213 |
| Pubmed ID | |
| Authors |
Fabio Coppedè |
| Abstract |
Hutchinson-Gilford Progeria Syndrome and Werner syndrome, also known as childhood- and adulthood-progeria, respectively, represent two of the best characterized human progeroid diseases with clinical features mimicking physiological aging at an early age. The discovery of their genetic basis has led to the identification of several gene mutations leading to a spectrum of progeroid phenotypes ranging from moderate and mild-severe to very aggressive forms. In parallel, the creation of disease registers and databases provided available data for the design of relatively large-scale epidemiological studies, thereby allowing a better understanding of the nature and frequency of the premature aging-associated signs and symptoms. The aim of this article is to review the most recent findings concerning the epidemiology of premature aging disorders, their genetic basis, and the most recent reports on the frequency of associated diseases. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Portugal | 1 | 1% |
| Italy | 1 | 1% |
| Unknown | 81 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 16 | 19% |
| Researcher | 13 | 15% |
| Student > Master | 8 | 9% |
| Student > Ph. D. Student | 7 | 8% |
| Other | 6 | 7% |
| Other | 18 | 21% |
| Unknown | 17 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 25% |
| Biochemistry, Genetics and Molecular Biology | 18 | 21% |
| Agricultural and Biological Sciences | 14 | 16% |
| Computer Science | 3 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 8 | 9% |
| Unknown | 19 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 28 April 2022.
All research outputs
#2,685,053
of 25,584,565 outputs
Outputs from Clinical Interventions in Aging
#277
of 1,962 outputs
Outputs of similar age
#22,299
of 210,451 outputs
Outputs of similar age from Clinical Interventions in Aging
#6
of 54 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,962 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 85% of its peers.
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We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.