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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimating dyskinesia severity in Parkinson’s disease by using a waist-worn sensor: concurrent validity study
|
|---|---|
| Published in |
Scientific Reports, September 2019
|
| DOI | 10.1038/s41598-019-49798-3 |
| Pubmed ID | |
| Authors |
Alejandro Rodríguez-Molinero, Carlos Pérez-López, Albert Samà, Daniel Rodríguez-Martín, Sheila Alcaine, Berta Mestre, Paola Quispe, Benedetta Giuliani, Gabriel Vainstein, Patrick Browne, Dean Sweeney, Leo R. Quinlan, J. Manuel Moreno Arostegui, Àngels Bayes, Hadas Lewy, Alberto Costa, Roberta Annicchiarico, Timothy Counihan, Gearòid Ò. Laighin, Joan Cabestany |
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 | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 16% |
| Student > Ph. D. Student | 8 | 16% |
| Student > Bachelor | 4 | 8% |
| Student > Master | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 20 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 18% |
| Computer Science | 6 | 12% |
| Neuroscience | 5 | 10% |
| Medicine and Dentistry | 4 | 8% |
| Psychology | 4 | 8% |
| Other | 2 | 4% |
| Unknown | 21 | 41% |
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 20 September 2019.
All research outputs
#15,581,198
of 23,163,378 outputs
Outputs from Scientific Reports
#79,123
of 125,224 outputs
Outputs of similar age
#211,668
of 342,607 outputs
Outputs of similar age from Scientific Reports
#2,158
of 3,378 outputs
Altmetric has tracked 23,163,378 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 125,224 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one is in the 29th percentile – i.e., 29% 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 342,607 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,378 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.