You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Parkinson’s Disease Severity at 3 Years Can Be Predicted from Non-Motor Symptoms at Baseline
|
|---|---|
| Published in |
Frontiers in Neurology, October 2017
|
| DOI | 10.3389/fneur.2017.00551 |
| Pubmed ID | |
| Authors |
Alba Ayala, José Matías Triviño-Juárez, Maria João Forjaz, Carmen Rodríguez-Blázquez, José-Manuel Rojo-Abuin, Pablo Martínez-Martín |
| Abstract |
The aim of this study is to present a predictive model of Parkinson's disease (PD) global severity, measured with the Clinical Impression of Severity Index for Parkinson's Disease (CISI-PD). This is an observational, longitudinal study with annual follow-up assessments over 3 years (four time points). A multilevel analysis and multiple imputation techniques were performed to generate a predictive model that estimates changes in the CISI-PD at 1, 2, and 3 years. The clinical state of patients (CISI-PD) significantly worsened in the 3-year follow-up. However, this change was of small magnitude (effect size: 0.44). The following baseline variables were significant predictors of the global severity change: baseline global severity of disease, levodopa equivalent dose, depression and anxiety symptoms, autonomic dysfunction, and cognitive state. The goodness-of-fit of the model was adequate, and the sensitive analysis showed that the data imputation method applied was suitable. Disease progression depends more on the individual's baseline characteristics than on the 3-year time period. Results may contribute to a better understanding of the evolution of PD including the non-motor manifestations of the disease. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 50% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 19% |
| Student > Ph. D. Student | 7 | 16% |
| Student > Bachelor | 4 | 9% |
| Professor > Associate Professor | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 13 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 16% |
| Neuroscience | 6 | 14% |
| Engineering | 3 | 7% |
| Agricultural and Biological Sciences | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 7 | 16% |
| Unknown | 16 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 28 November 2017.
All research outputs
#12,862,694
of 23,007,053 outputs
Outputs from Frontiers in Neurology
#4,799
of 11,904 outputs
Outputs of similar age
#151,138
of 328,606 outputs
Outputs of similar age from Frontiers in Neurology
#67
of 191 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,904 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 59% 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 328,606 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 53% of its contemporaries.
We're also able to compare this research output to 191 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 64% of its contemporaries.