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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predictive diagnostics and personalized medicine for the prevention of chronic degenerative diseases
|
|---|---|
| Published in |
Immunity & Ageing, December 2010
|
| DOI | 10.1186/1742-4933-7-s1-s1 |
| Pubmed ID | |
| Authors |
Federico Licastro, Calogero Caruso |
| Abstract |
Progressive increase of mean age and life expectancy in both industrialized and emerging societies parallels an increment of chronic degenerative diseases (CDD) such as cancer, cardiovascular, autoimmune or neurodegenerative diseases among the elderly. CDD are of complex diagnosis, difficult to treat and absorbing an increasing proportion in the health care budgets worldwide. However, recent development in modern medicine especially in genetics, proteomics, and informatics is leading to the discovery of biomarkers associated with different CDD that can be used as indicator of disease's risk in healthy subjects. Therefore, predictive medicine is merging and medical doctors may for the first time anticipate the deleterious effect of CDD and use markers to identify persons with high risk of developing a given CDD before the clinical manifestation of the diseases. This innovative approach may offer substantial advantages, since the promise of personalized medicine is to preserve individual health in people with high risk by starting early treatment or prevention protocols. The pathway is now open, however the road to an effective personalized medicine is still long, several (diagnostic) predictive instruments for different CDD are under development, some ethical issues have to be solved. Operative proposals for the heath care systems are now needed to verify potential benefits of predictive medicine in the clinical practice. In fact, predictive diagnostics, personalized medicine and personalized therapy have the potential of changing classical approaches of modern medicine to CDD. |
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 % |
|---|---|---|
| United States | 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 21% |
| Student > Master | 9 | 21% |
| Student > Bachelor | 8 | 19% |
| Student > Ph. D. Student | 3 | 7% |
| Student > Postgraduate | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 3 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 19% |
| Agricultural and Biological Sciences | 5 | 12% |
| Engineering | 5 | 12% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Computer Science | 3 | 7% |
| Other | 14 | 33% |
| Unknown | 3 | 7% |
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 25 August 2014.
All research outputs
#15,304,580
of 22,761,738 outputs
Outputs from Immunity & Ageing
#239
of 372 outputs
Outputs of similar age
#140,670
of 180,630 outputs
Outputs of similar age from Immunity & Ageing
#1
of 1 outputs
Altmetric has tracked 22,761,738 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 372 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one is in the 27th percentile – i.e., 27% 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 180,630 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
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