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Mendeley readers
Attention Score in Context
| Title |
How to optimize the treatment of early stage Parkinson’s disease
|
|---|---|
| Published in |
Translational Neurodegeneration, February 2015
|
| DOI | 10.1186/2047-9158-4-4 |
| Pubmed ID | |
| Authors |
Fabrizio Stocchi, Laura Vacca, Fabiana G Radicati |
| Abstract |
The approach to early Parkinson's disease denotes the communication of the diagnosis and important decisions, such as when and how to start treatment. Evidence based medicine and guidelines indicate which drugs have robust evidence of efficacy and tolerability in this specific population. However, de-novo patients may show different characteristics and they may be in a different phase of their disease. In this review, we will give an insight into the appropriate time therapy should be started and the actual knowledge about disease modification therapies. Moreover, the drugs indicated for early treatment will be considered and an indication for the use of these drugs will be given with the support of the actual knowledge. |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 55 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 20% |
| Student > Master | 9 | 16% |
| Student > Doctoral Student | 4 | 7% |
| Researcher | 4 | 7% |
| Student > Ph. D. Student | 4 | 7% |
| Other | 8 | 14% |
| Unknown | 16 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 23% |
| Biochemistry, Genetics and Molecular Biology | 5 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 9% |
| Nursing and Health Professions | 3 | 5% |
| Psychology | 3 | 5% |
| Other | 11 | 20% |
| Unknown | 16 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 24 August 2023.
All research outputs
#1,187,848
of 25,373,627 outputs
Outputs from Translational Neurodegeneration
#26
of 384 outputs
Outputs of similar age
#14,689
of 270,084 outputs
Outputs of similar age from Translational Neurodegeneration
#1
of 4 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 384 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.7. This one has done particularly well, scoring higher than 93% 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 270,084 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 4 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