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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational prediction of muscle synergy using a finite element framework for a musculoskeletal model on lower limb
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, July 2023
|
| DOI | 10.3389/fbioe.2023.1130219 |
| Pubmed ID | |
| Authors |
Sentong Wang, Kazunori Hase, Tetsuro Funato |
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 % |
|---|---|---|
| Switzerland | 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 22% |
| Researcher | 2 | 22% |
| Student > Ph. D. Student | 1 | 11% |
| Unknown | 4 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 22% |
| Engineering | 2 | 22% |
| Medicine and Dentistry | 1 | 11% |
| Unknown | 4 | 44% |
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 18 July 2023.
All research outputs
#21,580,048
of 24,079,362 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#5,062
of 7,590 outputs
Outputs of similar age
#126,737
of 154,678 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#83
of 184 outputs
Altmetric has tracked 24,079,362 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,590 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 1st percentile – i.e., 1% 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 154,678 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 184 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.