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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Cooperative Health Research in South Tyrol (CHRIS) study: rationale, objectives, and preliminary results
|
|---|---|
| Published in |
Journal of Translational Medicine, November 2015
|
| DOI | 10.1186/s12967-015-0704-9 |
| Pubmed ID | |
| Authors |
Cristian Pattaro, Martin Gögele, Deborah Mascalzoni, Roberto Melotti, Christine Schwienbacher, Alessandro De Grandi, Luisa Foco, Yuri D’Elia, Barbara Linder, Christian Fuchsberger, Cosetta Minelli, Clemens Egger, Lisa S. Kofink, Stefano Zanigni, Torsten Schäfer, Maurizio F. Facheris, Sigurður V. Smárason, Alessandra Rossini, Andrew A. Hicks, Helmuth Weiss, Peter P. Pramstaller |
| Abstract |
The Cooperative Health Research In South Tyrol (CHRIS) study is a population-based study with a longitudinal lookout to investigate the genetic and molecular basis of age-related common chronic conditions and their interaction with life style and environment in the general population. All adults of the middle and upper Vinschgau/Val Venosta are invited, while 10,000 participants are anticipated by mid-2017. Family participation is encouraged for complete pedigree reconstruction and disease inheritance mapping. After a pilot study on the compliance with a paperless assessment mode, computer-assisted interviews have been implemented to screen for conditions of the cardiovascular, endocrine, metabolic, genitourinary, nervous, behavioral, and cognitive system. Fat intake, cardiac health, and tremor are assessed instrumentally. Nutrient intake, physical activity, and life-course smoking are measured semi-quantitatively. Participants are phenotyped for 73 blood and urine parameters and 60 aliquots per participant are biobanked (cryo-preserved urine, DNA, and whole and fractionated blood). Through liquid-chromatography mass-spectrometry analysis, metabolite profiling of the mitochondrial function is assessed. Samples are genotyped on 1 million variants with the Illumina HumanOmniExpressExome array and the first data release including 4570 fully phenotyped and genotyped samples is now available for analysis. Participants' follow-up is foreseen 6 years after the first visit. The target population is characterized by long-term social stability and homogeneous environment which should both favor the identification of enriched genetic variants. The CHRIS cohort is a valuable resource to assess the contribution of genomics, metabolomics, and environmental factors to human health and disease. It is awaited that this will result in the identification of novel molecular targets for disease prevention and treatment. |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 3 | 23% |
| Italy | 2 | 15% |
| Argentina | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 85% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
| Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 139 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 17% |
| Student > Ph. D. Student | 17 | 12% |
| Student > Master | 15 | 11% |
| Student > Bachelor | 11 | 8% |
| Student > Postgraduate | 7 | 5% |
| Other | 22 | 16% |
| Unknown | 43 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 17% |
| Biochemistry, Genetics and Molecular Biology | 14 | 10% |
| Agricultural and Biological Sciences | 9 | 6% |
| Nursing and Health Professions | 8 | 6% |
| Psychology | 7 | 5% |
| Other | 28 | 20% |
| Unknown | 50 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 21 April 2023.
All research outputs
#3,242,949
of 25,530,891 outputs
Outputs from Journal of Translational Medicine
#564
of 4,669 outputs
Outputs of similar age
#43,849
of 297,345 outputs
Outputs of similar age from Journal of Translational Medicine
#5
of 74 outputs
Altmetric has tracked 25,530,891 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,669 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 87% 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 297,345 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 85% of its contemporaries.
We're also able to compare this research output to 74 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 94% of its contemporaries.