Title |
Using Gait Variability to Predict Inter-individual Differences in Learning Rate of a Novel Obstacle Course
|
---|---|
Published in |
Annals of Biomedical Engineering, March 2019
|
DOI | 10.1007/s10439-019-02236-x |
Pubmed ID | |
Authors |
Sophia Ulman, Shyam Ranganathan, Robin Queen, Divya Srinivasan |
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 % |
---|---|---|
United States | 2 | 18% |
Canada | 1 | 9% |
Austria | 1 | 9% |
United Kingdom | 1 | 9% |
Unknown | 6 | 55% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 5 | 45% |
Members of the public | 5 | 45% |
Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 55 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 15 | 27% |
Researcher | 11 | 20% |
Student > Doctoral Student | 5 | 9% |
Student > Ph. D. Student | 3 | 5% |
Professor > Associate Professor | 2 | 4% |
Other | 3 | 5% |
Unknown | 16 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 12 | 22% |
Sports and Recreations | 7 | 13% |
Nursing and Health Professions | 7 | 13% |
Medicine and Dentistry | 4 | 7% |
Neuroscience | 2 | 4% |
Other | 5 | 9% |
Unknown | 18 | 33% |