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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Shotgun approaches to gait analysis: insights & limitations
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, August 2014
|
| DOI | 10.1186/1743-0003-11-120 |
| Pubmed ID | |
| Authors |
Ronald G Kaptein, Daphne Wezenberg, Trienke IJmker, Han Houdijk, Peter J Beek, Claudine JC Lamoth, Andreas Daffertshofer |
| Abstract |
Identifying features for gait classification is a formidable problem. The number of candidate measures is legion. This calls for proper, objective criteria when ranking their relevance. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 40% |
| United States | 1 | 20% |
| Netherlands | 1 | 20% |
| Nigeria | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| Netherlands | 2 | 2% |
| Austria | 1 | <1% |
| Brazil | 1 | <1% |
| Belarus | 1 | <1% |
| Unknown | 95 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 18 | 18% |
| Student > Master | 16 | 16% |
| Student > Ph. D. Student | 15 | 15% |
| Researcher | 11 | 11% |
| Student > Doctoral Student | 5 | 5% |
| Other | 15 | 15% |
| Unknown | 22 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 22 | 22% |
| Sports and Recreations | 11 | 11% |
| Nursing and Health Professions | 9 | 9% |
| Medicine and Dentistry | 8 | 8% |
| Neuroscience | 7 | 7% |
| Other | 18 | 18% |
| Unknown | 27 | 26% |
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 19 August 2015.
All research outputs
#14,972,962
of 25,459,177 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#699
of 1,416 outputs
Outputs of similar age
#119,037
of 243,320 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#14
of 23 outputs
Altmetric has tracked 25,459,177 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,416 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 243,320 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 50% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.