| Title |
Gait variability as digital biomarker of disease severity in Huntington’s disease
|
|---|---|
| Published in |
Journal of Neurology, February 2020
|
| DOI | 10.1007/s00415-020-09725-3 |
| Pubmed ID | |
| Authors |
Heiko Gaßner, Dennis Jensen, F. Marxreiter, Anja Kletsch, Stefan Bohlen, Robin Schubert, Lisa M. Muratori, Bjoern Eskofier, Jochen Klucken, Jürgen Winkler, Ralf Reilmann, Zacharias Kohl |
X Demographics
The data shown below were collected from the profiles of 8 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 Kingdom | 1 | 13% |
| Germany | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 111 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 15% |
| Researcher | 15 | 14% |
| Other | 10 | 9% |
| Student > Bachelor | 8 | 7% |
| Student > Master | 7 | 6% |
| Other | 16 | 14% |
| Unknown | 38 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 16 | 14% |
| Engineering | 12 | 11% |
| Medicine and Dentistry | 10 | 9% |
| Computer Science | 8 | 7% |
| Nursing and Health Professions | 4 | 4% |
| Other | 19 | 17% |
| Unknown | 42 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 April 2020.
All research outputs
#2,110,813
of 23,192,960 outputs
Outputs from Journal of Neurology
#358
of 4,547 outputs
Outputs of similar age
#54,030
of 456,021 outputs
Outputs of similar age from Journal of Neurology
#9
of 81 outputs
Altmetric has tracked 23,192,960 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,547 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 92% 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 456,021 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.