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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An equivalent circuit model for onset and offset exercise response
|
|---|---|
| Published in |
BioMedical Engineering OnLine, October 2014
|
| DOI | 10.1186/1475-925x-13-145 |
| Pubmed ID | |
| Authors |
Yi Zhang, Azzam Haddad, Steven W Su, Branko G Celler, Aaron J Coutts, Rob Duffield, Cheyne E Donges, Hung T Nguyen |
| Abstract |
The switching exercise (e.g., Interval Training) has been a commonly used exercise protocol nowadaysfor the enhancement of exerciser's cardiovascular fitness. The current difficulty for simulating humanonset and offset exercise responses regarding the switching exercise is to ensure the continuity of theoutputs during onset-offset switching, as well as to accommodate the exercise intensities at both onsetand offset of exercise. |
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 % |
|---|---|---|
| Unknown | 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 33 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 18% |
| Student > Bachelor | 5 | 15% |
| Researcher | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 2 | 6% |
| Other | 7 | 21% |
| Unknown | 9 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 12 | 35% |
| Medicine and Dentistry | 5 | 15% |
| Engineering | 3 | 9% |
| Physics and Astronomy | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 9 | 26% |
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 20 October 2014.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from BioMedical Engineering OnLine
#607
of 867 outputs
Outputs of similar age
#198,991
of 271,601 outputs
Outputs of similar age from BioMedical Engineering OnLine
#10
of 14 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 15th percentile – i.e., 15% 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 271,601 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.