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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of Precision Medicine in Neurodegenerative Diseases
|
|---|---|
| Published in |
Frontiers in Neurology, August 2018
|
| DOI | 10.3389/fneur.2018.00701 |
| Pubmed ID | |
| Authors |
Claudia Strafella, Valerio Caputo, Maria R. Galota, Stefania Zampatti, Gianluca Marella, Silvestro Mauriello, Raffaella Cascella, Emiliano Giardina |
| Abstract |
One of the main challenges for healthcare systems is the increasing prevalence of neurodegenerative pathologies together with the rapidly aging populations. The enormous progresses made in the field of biomedical research and informatics have been crucial for improving the knowledge of how genes, epigenetic modifications, aging, nutrition, drugs and microbiome impact health and disease. In fact, the availability of high technology and computational facilities for large-scale analysis enabled a deeper investigation of neurodegenerative disorders, providing a more comprehensive overview of disease and encouraging the development of a precision medicine approach for these pathologies. On this subject, the creation of collaborative networks among medical centers, research institutes and highly qualified specialists can be decisive for moving the precision medicine from the bench to the bedside. To this purpose, the present review has been thought to discuss the main components which may be part of precise and personalized treatment programs applied to neurodegenerative disorders. Parkinson Disease will be taken as an example to understand how precision medicine approach can be clinically useful and provide substantial benefit to patients. In this perspective, the realization of web-based networks can be decisive for the implementation of precision medicine strategies across different specialized centers as well as for supporting clinical/therapeutical decisions and promoting a more preventive and participative medicine for neurodegenerative disorders. These collaborative networks are essentially addressed to find innovative, sustainable and effective strategies able to provide optimal and safer therapies, discriminate at risk individuals, identify patients at preclinical or early stage of disease, set-up individualized and preventative strategies for improving prognosis and patient's quality of life. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 22% |
| France | 1 | 11% |
| Switzerland | 1 | 11% |
| Germany | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 137 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 19% |
| Student > Bachelor | 22 | 16% |
| Student > Master | 13 | 9% |
| Researcher | 12 | 9% |
| Student > Doctoral Student | 5 | 4% |
| Other | 13 | 9% |
| Unknown | 46 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 16% |
| Medicine and Dentistry | 15 | 11% |
| Neuroscience | 13 | 9% |
| Agricultural and Biological Sciences | 7 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 4% |
| Other | 24 | 18% |
| Unknown | 50 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 26 September 2018.
All research outputs
#6,517,684
of 23,100,534 outputs
Outputs from Frontiers in Neurology
#4,282
of 12,015 outputs
Outputs of similar age
#114,754
of 334,226 outputs
Outputs of similar age from Frontiers in Neurology
#83
of 289 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 12,015 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 64% 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 334,226 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 64% of its contemporaries.
We're also able to compare this research output to 289 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.