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Attention Score in Context
| Title |
The German AugUR study: study protocol of a prospective study to investigate chronic diseases in the elderly
|
|---|---|
| Published in |
BMC Geriatrics, October 2015
|
| DOI | 10.1186/s12877-015-0122-0 |
| Pubmed ID | |
| Authors |
Klaus Stark, Matthias Olden, Caroline Brandl, Alexander Dietl, Martina E. Zimmermann, Sabine C. Schelter, Julika Loss, Michael F. Leitzmann, Carsten A. Böger, Andreas Luchner, Florian Kronenberg, Horst Helbig, Bernhard H. F. Weber, Iris M. Heid |
| Abstract |
The majority of patients suffering from chronic health disabilities is beyond 70 years of age. Typical late-onset chronic diseases include those affecting the heart, the kidney, cancer, and conditions of the eye such as age-related macular degeneration. These diseases disable patients for many years and largely compromise autonomy in daily life. Due to challenges in recruiting the elderly, the collection of population-based epidemiological data as a prerequisite to understand associated risk factors and mechanisms is commonly done in the general population within an age-range of 20 to 70 years. We establish the German AugUR study (Age-related diseases: understanding genetic and non-genetic influences - a study at the University of Regensburg), a prospective study in the mobile elderly general population in and around Regensburg in eastern Bavaria. In the long term, we aim to recruit 3,000 persons of Caucasian ethnicity with at least 70 years of age via residents' registration offices and conduct 3-year follow-ups. The study protocol includes a standardized interview regarding social and life-style factors, medication history, quality-of-life, and existing diagnoses of common diseases. The participants undergo medical examinations for ophthalmological, cardiovascular or diabetes-related conditions, and general measurements of body shape and fitness. The program is particularly tailored for the elderly. Biobanking of whole blood, serum, plasma, and urine is conducted and standard laboratory measurements are performed in fresh samples. AugUR is specifically designed as a research platform to host studies of late onset diseases. Consequently, this platform will help (1) to unravel the genetic and non-genetic etiology of disease development and progression, (2) to serve as control group of elderly individuals for comparisons with various patient groups, (3) to derive prevalence and incidence data on chronic diseases, and (4) to provide clinical reference parameters for the elderly mobile general population. This data will foster our understanding of disease mechanisms, which may ultimately help to improve prevention, diagnosis, and therapy for frequent chronic diseases. Here we present the baseline study protocol of AugUR. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Spain | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 78 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 12 | 15% |
| Researcher | 11 | 14% |
| Student > Ph. D. Student | 10 | 12% |
| Student > Master | 9 | 11% |
| Student > Bachelor | 7 | 9% |
| Other | 11 | 14% |
| Unknown | 21 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 31% |
| Psychology | 10 | 12% |
| Nursing and Health Professions | 6 | 7% |
| Computer Science | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Other | 11 | 14% |
| Unknown | 23 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 December 2023.
All research outputs
#2,227,255
of 24,946,857 outputs
Outputs from BMC Geriatrics
#531
of 3,513 outputs
Outputs of similar age
#31,318
of 289,365 outputs
Outputs of similar age from BMC Geriatrics
#8
of 43 outputs
Altmetric has tracked 24,946,857 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done well, scoring higher than 84% 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 289,365 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.