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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, September 2020
|
| DOI | 10.1186/s12984-020-00758-3 |
| Pubmed ID | |
| Authors |
Hiren Kumar Thakkar, Wan-wen Liao, Ching-yi Wu, Yu-Wei Hsieh, Tsong-Hai Lee |
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 % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 25% |
| Spain | 1 | 25% |
| United Kingdom | 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 119 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 11% |
| Student > Ph. D. Student | 11 | 9% |
| Student > Master | 8 | 7% |
| Researcher | 8 | 7% |
| Lecturer | 7 | 6% |
| Other | 13 | 11% |
| Unknown | 59 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 12% |
| Nursing and Health Professions | 13 | 11% |
| Neuroscience | 6 | 5% |
| Computer Science | 4 | 3% |
| Engineering | 4 | 3% |
| Other | 15 | 13% |
| Unknown | 63 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 October 2020.
All research outputs
#14,505,209
of 23,245,494 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#738
of 1,299 outputs
Outputs of similar age
#226,687
of 411,818 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#23
of 41 outputs
Altmetric has tracked 23,245,494 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,299 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 39th percentile – i.e., 39% 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 411,818 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.