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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A computational model of skeletal muscle metabolism linking cellular adaptations induced by altered loading states to metabolic responses during exercise
|
|---|---|
| Published in |
BioMedical Engineering OnLine, April 2007
|
| DOI | 10.1186/1475-925x-6-14 |
| Pubmed ID | |
| Authors |
Ranjan K Dash, John A DiBella, Marco E Cabrera |
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 % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 1 | 2% |
| Brazil | 1 | 2% |
| Japan | 1 | 2% |
| Poland | 1 | 2% |
| Unknown | 57 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 24% |
| Student > Master | 8 | 13% |
| Student > Ph. D. Student | 7 | 11% |
| Professor > Associate Professor | 7 | 11% |
| Student > Bachelor | 5 | 8% |
| Other | 13 | 21% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 25% |
| Engineering | 12 | 19% |
| Medicine and Dentistry | 10 | 16% |
| Nursing and Health Professions | 3 | 5% |
| Computer Science | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 12 | 19% |
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 15 December 2015.
All research outputs
#18,432,465
of 22,835,198 outputs
Outputs from BioMedical Engineering OnLine
#565
of 823 outputs
Outputs of similar age
#69,136
of 74,120 outputs
Outputs of similar age from BioMedical Engineering OnLine
#2
of 2 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 823 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 16th percentile – i.e., 16% 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 74,120 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.