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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Four-compartment muscle fatigue model to predict metabolic inhibition and long-lasting nonmetabolic components
|
|---|---|
| Published in |
Frontiers in Physiology, March 2024
|
| DOI | 10.3389/fphys.2024.1366172 |
| Pubmed ID | |
| Authors |
Florian Michaud, Santiago Beron, Urbano Lugrís, Javier Cuadrado |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 43% |
| Canada | 1 | 14% |
| United States | 1 | 14% |
| Switzerland | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | 25% |
| Researcher | 1 | 25% |
| Student > Postgraduate | 1 | 25% |
| Unknown | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 50% |
| Engineering | 1 | 25% |
| Unknown | 1 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 12 March 2024.
All research outputs
#7,036,661
of 25,698,912 outputs
Outputs from Frontiers in Physiology
#3,203
of 15,716 outputs
Outputs of similar age
#70,420
of 268,132 outputs
Outputs of similar age from Frontiers in Physiology
#18
of 204 outputs
Altmetric has tracked 25,698,912 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 15,716 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 79% of its peers.
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 268,132 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 204 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.