| Title |
Cloud-based rehabilitation and recovery prediction system for stroke patients
|
|---|---|
| Published in |
Cluster Computing, April 2015
|
| DOI | 10.1007/s10586-015-0448-6 |
| Authors |
Mohamad Hoda, Yehya Hoda, Abbass Hage, Abdulhameed Alelaiwi, Abdulmotaleb El Saddik |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Taiwan | 1 | 2% |
| Unknown | 42 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 28% |
| Student > Bachelor | 6 | 14% |
| Student > Ph. D. Student | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Professor | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 11 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 19% |
| Computer Science | 8 | 19% |
| Psychology | 3 | 7% |
| Nursing and Health Professions | 3 | 7% |
| Engineering | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 13 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 22 June 2015.
All research outputs
#15,338,777
of 22,815,414 outputs
Outputs from Cluster Computing
#174
of 272 outputs
Outputs of similar age
#156,969
of 264,424 outputs
Outputs of similar age from Cluster Computing
#3
of 5 outputs
Altmetric has tracked 22,815,414 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 272 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 19th percentile – i.e., 19% 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 264,424 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.