| Title |
Machine Learning-Based Adaptive Wireless Interval Training Guidance System
|
|---|---|
| Published in |
Mobile Networks and Applications, June 2011
|
| DOI | 10.1007/s11036-011-0331-5 |
| Authors |
Myung-kyung Suh, Ani Nahapetian, Jonathan Woodbridge, Mahsan Rofouei, Majid Sarrafzadeh |
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 % |
|---|---|---|
| United States | 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| Malaysia | 1 | 1% |
| Netherlands | 1 | 1% |
| Australia | 1 | 1% |
| Brazil | 1 | 1% |
| United Kingdom | 1 | 1% |
| Slovenia | 1 | 1% |
| Japan | 1 | 1% |
| Poland | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 75 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 23% |
| Student > Ph. D. Student | 17 | 20% |
| Student > Bachelor | 9 | 11% |
| Student > Doctoral Student | 6 | 7% |
| Student > Postgraduate | 6 | 7% |
| Other | 11 | 13% |
| Unknown | 16 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 26 | 31% |
| Social Sciences | 9 | 11% |
| Engineering | 8 | 10% |
| Medicine and Dentistry | 6 | 7% |
| Nursing and Health Professions | 5 | 6% |
| Other | 12 | 14% |
| Unknown | 18 | 21% |
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 27 April 2012.
All research outputs
#15,243,120
of 22,664,644 outputs
Outputs from Mobile Networks and Applications
#261
of 326 outputs
Outputs of similar age
#83,211
of 115,031 outputs
Outputs of similar age from Mobile Networks and Applications
#6
of 8 outputs
Altmetric has tracked 22,664,644 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 326 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 12th percentile – i.e., 12% 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 115,031 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 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.