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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using Kinect to classify Parkinson’s disease stages related to severity of gait impairment
|
|---|---|
| Published in |
BMC Bioinformatics, December 2018
|
| DOI | 10.1186/s12859-018-2488-4 |
| Pubmed ID | |
| Authors |
Lacramioara Dranca, Lopez de Abetxuko Ruiz de Mendarozketa, Alfredo Goñi, Arantza Illarramendi, Irene Navalpotro Gomez, Manuel Delgado Alvarado, María Cruz Rodríguez-Oroz |
X Demographics
The data shown below were collected from the profiles of 11 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 | 4 | 36% |
| United Kingdom | 2 | 18% |
| Canada | 1 | 9% |
| New Zealand | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 82% |
| Scientists | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 124 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 17% |
| Student > Ph. D. Student | 20 | 16% |
| Researcher | 14 | 11% |
| Student > Bachelor | 12 | 10% |
| Student > Doctoral Student | 5 | 4% |
| Other | 15 | 12% |
| Unknown | 37 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 14% |
| Neuroscience | 15 | 12% |
| Computer Science | 14 | 11% |
| Medicine and Dentistry | 9 | 7% |
| Nursing and Health Professions | 7 | 6% |
| Other | 17 | 14% |
| Unknown | 45 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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
#6,345,081
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#2,355
of 7,400 outputs
Outputs of similar age
#127,666
of 439,591 outputs
Outputs of similar age from BMC Bioinformatics
#59
of 188 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 68% 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 439,591 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 70% of its contemporaries.
We're also able to compare this research output to 188 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 68% of its contemporaries.