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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Proposal of a new conceptual gait model for patients with Parkinson’s disease based on factor analysis
|
|---|---|
| Published in |
BioMedical Engineering OnLine, June 2019
|
| DOI | 10.1186/s12938-019-0689-3 |
| Pubmed ID | |
| Authors |
Ilaria Arcolin, Stefano Corna, Marica Giardini, Andrea Giordano, Antonio Nardone, Marco Godi |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Science communicators (journalists, bloggers, editors) | 2 | 33% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 16% |
| Researcher | 10 | 16% |
| Student > Master | 8 | 13% |
| Student > Bachelor | 4 | 6% |
| Other | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 23 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 9 | 14% |
| Nursing and Health Professions | 8 | 13% |
| Medicine and Dentistry | 6 | 10% |
| Psychology | 3 | 5% |
| Engineering | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 28 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 19 July 2022.
All research outputs
#8,130,198
of 25,872,466 outputs
Outputs from BioMedical Engineering OnLine
#208
of 875 outputs
Outputs of similar age
#136,574
of 367,377 outputs
Outputs of similar age from BioMedical Engineering OnLine
#3
of 12 outputs
Altmetric has tracked 25,872,466 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 875 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 76% 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 367,377 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 62% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.