| Title |
Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson’s Disease
|
|---|---|
| Published in |
Cognitive Computation, June 2018
|
| DOI | 10.1007/s12559-018-9575-8 |
| Pubmed ID | |
| Authors |
Jiri Mekyska, Zoltan Galaz, Tomas Kiska, Vojtech Zvoncak, Jan Mucha, Zdenek Smekal, Ilona Eliasova, Milena Kostalova, Martina Mrackova, Dagmar Fiedorova, Marcos Faundez-Zanuy, Jordi Solé-Casals, Pedro Gomez-Vilda, Irena Rektorova |
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% |
| Czechia | 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 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 > Ph. D. Student | 8 | 14% |
| Student > Doctoral Student | 5 | 9% |
| Student > Bachelor | 5 | 9% |
| Student > Master | 5 | 9% |
| Student > Postgraduate | 5 | 9% |
| Other | 9 | 16% |
| Unknown | 21 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 9 | 16% |
| Engineering | 5 | 9% |
| Computer Science | 5 | 9% |
| Medicine and Dentistry | 5 | 9% |
| Nursing and Health Professions | 4 | 7% |
| Other | 9 | 16% |
| Unknown | 21 | 36% |
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 02 July 2018.
All research outputs
#13,266,732
of 23,092,602 outputs
Outputs from Cognitive Computation
#101
of 415 outputs
Outputs of similar age
#162,970
of 329,163 outputs
Outputs of similar age from Cognitive Computation
#3
of 5 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 415 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done well, scoring higher than 75% 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 329,163 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.