| Title |
Exploring hyperhidrosis and related thermoregulatory symptoms as a possible clinical identifier for the dysautonomic subtype of Parkinson’s disease
|
|---|---|
| Published in |
Journal of Neurology, April 2019
|
| DOI | 10.1007/s00415-019-09325-w |
| Pubmed ID | |
| Authors |
Daniel J. van Wamelen, Valentina Leta, Aleksandra M. Podlewska, Yi-Min Wan, Katarina Krbot, Elina Jaakkola, Pablo Martinez-Martin, Alexandra Rizos, Miriam Parry, Vinod Metta, Kallol Ray Chaudhuri |
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 % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 17% |
| Student > Master | 9 | 16% |
| Student > Doctoral Student | 5 | 9% |
| Researcher | 5 | 9% |
| Student > Ph. D. Student | 5 | 9% |
| Other | 6 | 10% |
| Unknown | 18 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 33% |
| Neuroscience | 8 | 14% |
| Business, Management and Accounting | 2 | 3% |
| Nursing and Health Professions | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 22 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 31 December 2019.
All research outputs
#13,646,138
of 23,142,049 outputs
Outputs from Journal of Neurology
#2,872
of 4,541 outputs
Outputs of similar age
#176,939
of 350,034 outputs
Outputs of similar age from Journal of Neurology
#54
of 91 outputs
Altmetric has tracked 23,142,049 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,541 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 35th percentile – i.e., 35% 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 350,034 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.